<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM56
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Argentina - NOVA
ArVO
Australia-VO
BRAVO
China-VO
China-VO 2014, the 13th annual workshop of the China-VO project, was held from Nov. 26 to 29. More than 100 persons attended the workshop. The theme of the China-VO 2014 is "Big Data in Astronomy". ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
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< < | VAO | ||||||||||||||||||
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> > | Work with the broader US community will be taken up with the USVOA. The AAS (American Astronomical Society) has endorsed our proposal to establish the USVOA (US Virtual Observatory Alliance) to coordinate all interested US parties in the development of interoperability standards for astronomy. The USVOA is a Special Interest Group of the WGAS. It constitutes, by AAS endorsement, the US-wide VO project needed for IVOA participation, with representation from NASA and ground based data centers. The first meeting of the USVOA is scheduled for the upcoming Jan 2015 AAS meeting. This meeting is intended to establish the structure and governance of the USVOA. | ||||||||||||||||||
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415.
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
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LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM56
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< < | * CoNVOI - Coordinated NASA (Archives) Virtual Observatory Implementation | ||||||||||||||||||
Argentina - NOVA
ArVO
Australia-VO
BRAVO
China-VO
China-VO 2014, the 13th annual workshop of the China-VO project, was held from Nov. 26 to 29. More than 100 persons attended the workshop. The theme of the China-VO 2014 is "Big Data in Astronomy". ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415.
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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> > |
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<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM56
| |||||||||||||||||||
Changed: | |||||||||||||||||||
< < |
| ||||||||||||||||||
> > |
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ArVO
Australia-VO
BRAVO
China-VO
China-VO 2014, the 13th annual workshop of the China-VO project, was held from Nov. 26 to 29. More than 100 persons attended the workshop. The theme of the China-VO 2014 is "Big Data in Astronomy". ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415.
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
|
<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET) | |||||||||||||||||||
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ArVO
Australia-VO
BRAVO
China-VO
China-VO 2014, the 13th annual workshop of the China-VO project, was held from Nov. 26 to 29. More than 100 persons attended the workshop. The theme of the China-VO 2014 is "Big Data in Astronomy". ChiVO | |||||||||||||||||||
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CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415.
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
| |||||||||||||||||||
Added: | |||||||||||||||||||
> > |
| ||||||||||||||||||
<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
ArVO
Australia-VO
BRAVO
China-VO | |||||||||||||||||||
Added: | |||||||||||||||||||
> > | China-VO 2014, the 13th annual workshop of the China-VO project, was held from Nov. 26 to 29. More than 100 persons attended the workshop. The theme of the China-VO 2014 is "Big Data in Astronomy". The second WWT planetarium was completed at Astronomy Department of Beijing Normal University. The inauguration was held on Oct. 15, 2014. | ||||||||||||||||||
ChiVO | |||||||||||||||||||
Added: | |||||||||||||||||||
> > | |||||||||||||||||||
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415.
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
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ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars | |||||||||||||||||||
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< < | using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued. | ||||||||||||||||||
> > | using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued. | ||||||||||||||||||
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Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, | |||||||||||||||||||
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< < | New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319. | ||||||||||||||||||
> > | New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319. | ||||||||||||||||||
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: | |||||||||||||||||||
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< < | Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9. | ||||||||||||||||||
> > | Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9. | ||||||||||||||||||
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) | |||||||||||||||||||
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The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. | |||||||||||||||||||
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< < | Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204. | ||||||||||||||||||
> > | Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204. | ||||||||||||||||||
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. | |||||||||||||||||||
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< < | "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196. | ||||||||||||||||||
> > | "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196. | ||||||||||||||||||
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. | |||||||||||||||||||
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< < | "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250. | ||||||||||||||||||
> > | "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250. | ||||||||||||||||||
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. | |||||||||||||||||||
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< < | Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1 | ||||||||||||||||||
> > | Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1 | ||||||||||||||||||
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. | |||||||||||||||||||
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< < | "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406. | ||||||||||||||||||
> > | "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406. | ||||||||||||||||||
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. | |||||||||||||||||||
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< < | "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244. | ||||||||||||||||||
> > | "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244. | ||||||||||||||||||
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov | |||||||||||||||||||
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< < | "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press | ||||||||||||||||||
> > | "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press | ||||||||||||||||||
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. | |||||||||||||||||||
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< < | "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted | ||||||||||||||||||
> > | "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted | ||||||||||||||||||
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. | |||||||||||||||||||
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< < | "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1. | ||||||||||||||||||
> > | "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1. | ||||||||||||||||||
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< < | scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014) | ||||||||||||||||||
> > | scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014) | ||||||||||||||||||
Malkov O.Yu. "On identification and cross-identification of celestial objects" | |||||||||||||||||||
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< < | Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014) | ||||||||||||||||||
> > | Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014) | ||||||||||||||||||
Kovaleva D.A. "On the problems of designation and cross-identification | |||||||||||||||||||
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< < | of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014) | ||||||||||||||||||
> > | of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014) | ||||||||||||||||||
Avvakumova E.A. "The Binary star DataBase (BDB): the new service | |||||||||||||||||||
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< < | providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014 | ||||||||||||||||||
> > | providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014 | ||||||||||||||||||
3. Working group "Technologies of RVO information structures" | |||||||||||||||||||
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< < | (IPI RAS, led by Leonid Kalinichenko) | ||||||||||||||||||
> > | (IPI RAS, led by Leonid Kalinichenko) | ||||||||||||||||||
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. | |||||||||||||||||||
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Investigation of conceptual approach to scientific problem solving | |||||||||||||||||||
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Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. | |||||||||||||||||||
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Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. | |||||||||||||||||||
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< < | |||||||||||||||||||
In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
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< < | Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1]. | ||||||||||||||||||
> > | Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1]. | ||||||||||||||||||
Development of multiple object identification system and cross-identification approach | |||||||||||||||||||
Deleted: | |||||||||||||||||||
< < | |||||||||||||||||||
This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or
allowing to estimate similarity [2]. | |||||||||||||||||||
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< < | Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support | ||||||||||||||||||
> > | Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support | ||||||||||||||||||
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. | |||||||||||||||||||
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An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. | |||||||||||||||||||
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< < | 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E.,
Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted | ||||||||||||||||||
> > | 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E.,
Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted | ||||||||||||||||||
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. | |||||||||||||||||||
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< < | Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf | ||||||||||||||||||
> > | Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf | ||||||||||||||||||
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< < | 3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and
Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf | ||||||||||||||||||
> > | 3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and
Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf | ||||||||||||||||||
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< < | 4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian
Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf | ||||||||||||||||||
> > | 4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian
Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf | ||||||||||||||||||
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) | |||||||||||||||||||
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< < | The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html | ||||||||||||||||||
> > | The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html | ||||||||||||||||||
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< < | "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/ | ||||||||||||||||||
> > | "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/ | ||||||||||||||||||
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< < | Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415. | ||||||||||||||||||
> > | Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415. | ||||||||||||||||||
SA^3
SVO
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Reports from the WGs
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<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) WebEx Info:
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO | |||||||||||||||||||
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> > | 1. The database of Moscow astronomical plate collection and maintenance of the General Catalogue of Variable Stars (INASAN and SAI MSU, led by Nikolai Samus)
In March, 2014, a new electronic version of the GCVS was made available to the astronomical community. We started working on the next, 81st Name-List of Variable Stars, which will contain about 6000 objects. A half of the list will be ready for publication by the end of 2014. As usual, many dozens of corrections to the electronic GCVS have been introduced during 2014. A new scanner for digitizing the Moscow collection of astronomical plates was introduced by the end of 2013, and we continued scanning. We also proceed with discoveries of new variable stars using digitized plates. 1011 new variable stars were discovered in a field in Cassiopeia. Two oral talks on the variable stars from the digitizing project were presented (March, Prague; July, Sofia). The work on the new system of automatic classification of variable stars for the GCVS, based on photometric data, was continued.
References Sokolovsky, K.V., Antipin, S.V., Zubareva, A.M., et al. 2014, New variable stars on digitized plates of the Moscow collection. Field SA9. Astronomy Reports, 58, 319.
Kazarovets, E.V., Pastukhova, E.N. 2014, 37 Mira Type Stars from the NSV Catalog: Recovery and Light Elements. Peremennye Zvezdy Prilozhenie/Variable Stars Supplement, V. 14, No. 9.
2. Working group "RVO data" (INASAN, led by Dana Kovaleva) The Binary Star Database (BDB) beta version is available at http://bdb.inasan.ru/ . The BDB includes all catalogued data on physical and astrometric parameters of binaries and multiples of various types. BDB provides a tool for effective managing of the catalogues of binary stars into the IVO. Organization of the information is based on the careful cross-identification of the objects. This year, the new data catalogues has been added, and the new approach to the solution of cross-identification problem was developed. A new consistent scheme for identification of objects in binary and multiple stars, BSDB (Binary Star DataBase), is developed and implemented. The scheme allows to link properly data with the relevant objects in the stellar system. The list of all binary and multiple stars cross-identifiers (preliminarily named Identification List of Binaries, ILB) is being created and will be used to improve BDB request processing. IVO standards implementation into BDB is discussed. The database request batch mode is being tested. References
Kovaleva D.A., Kaygorodov P.V., Kalinichenko L.A., Malkov O.Yu., Skvortsov N.A. "On the problems of designation and cross-identification of multiple objects in astronomy", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 198-204.
Kalinichenko L.A., Kovalev D.Yu., Kovaleva D.A., Malkov O.Yu. "Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support", 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 177-196.
Dluzhnevskaya O.B., Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "BDB: The Binary Star Database" 2014, in ADASS XXIII Conference, eds. N. Manset, P. Forshay. Waikoloa, Hawaii, Sep 2013, ASP Conf. Ser., Vol. 485, 247-250.
Kaygorodov P.V., Kovaleva D.A., Dluzhnevskaya O.B., Malkov O.Yu. Binary star database (BDB) internals, 2014, Russian Digital Libraries, 17, 1
Kaygorodov P.V., Kovaleva D.A., Malkov O.Yu. "Design and Implementation of BDB, the Binary Star Database" 2014, in Setting a new standard in the analysis of binary stars conference, eds. Kresimir Pavlovski, Andrew Tkachenko, Guillermo Torres. Leuven, Sep 2013, EAS Publication Series, Vol. 64, 405-406.
Malkov O.Yu., Kaygorodov P.V., Kovaleva D.A., Oblak E., Debray B. "Binary star database BDB: datasets and services" 2014, Astronomical and Astrophysical Transactions, 28, N 3, 235-244.
O.Yu.Malkov, O.B.Dluzhnevskaya, P.V.Kaygorodov, D.A.Kovaleva, N.A.Skvortsov "On identification and cross-identification of celestial objects", 2014, Russian Digital Libraries, in press
Kovaleva D.A., Debray B., Kaygorodov P.V., Malkov O.Yu., Oblak E. "VO-accessible Binary star DataBase BDB" 2014, Astronomy and Computing, submitted
Avvakumova E., Kaygorodov P., Kovaleva D., Malkov O. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems" 2014, in Binary Systems, their Evolution and Environments Conference, Ulaanbaatar, Mongolia, Sep 2014, http://mongolia.csp.escience.cn/, id.G1.
Conferences Malkov O.Yu., "Binary star database BDB". Invited talk at All-Russian scientific conference "Information systems in fundamental science. Big data". SAO RAS, Nizhny Arkhyz (21-26.07.2014)
Malkov O.Yu. "On identification and cross-identification of celestial objects" Invited talk at Fourth All-Russian Symposium "Infrastructure of Scientific Informational Resources and Systems", StPetersbourg (6-8.10.2014)
Kovaleva D.A. "On the problems of designation and cross-identification of multiple objects in astronomy", Talk at 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Dubna (13-16.10.2014)
Avvakumova E.A. "The Binary star DataBase (BDB): the new service providing basic data for binary and multiple systems", Poster paper at: "Binary Systems, their Evolution and Environments" Conference, Ulaanbaatar, Mongolia, Sep 2014
3. Working group "Technologies of RVO information structures" (IPI RAS, led by Leonid Kalinichenko)
In 2014 at the Institute of Informatics Problems in cooperation with colleagues from INASAN investigations for developing virtual observatories have been conducted, focused on: investigation and development of conceptual approach to astronomical problem solving and demonstration of its benefits for particular cases; development of multiple object identification system and common approach to their cross-identification; investigation of methods to support lifecycle of hypothesis-dviven research and experiments; investigation of anomaly detection methods for various kinds of data. Investigation of conceptual approach to scientific problem solving Astronomy as a data-intensive science becomes more and more dependent on the fast growing datasets from various epochs, spectral ranges and instruments. Up to now researchers continue to be committed to the approach according to which particular catalogs are selected prior to the problem statement, so that the problem is defined in the terms of specific catalogs. Due to that problem specification and solving become tightly tied to specific catalogs and services. Dominance of such approach impedes the problem solving methods reuse with other datasets as well as collecting methods to apply in new researches. Virtual observatories stress this deficiency serving generally as data archives today instead of serving also as libraries of analytic methods applicable to astronomical objects and phenomena, not to catalog lines. In this regard using conceptual approach is noteworthy. It is built on the problem domain knowledge allowing formulation of problem solving algorithms and data analysis methods in terms of the domain concepts without reference to catalogs thus getting rid of the mentioned deficiencies. Catalogs in their turn are mapped into the problem domain specifications and used to solve problems formulated in the domain terms.
Benefits of conceptual approach application has been demonstrated on solving of problems related to searching for secondary photometric standard candidates, detection photometric redshift of galaxies, construction of binary and multiple star repository from heterogeneous databases, classification of eclipsing stars. These problems have been formulated and solved over specifications of widely applied knowledge dimensions in astronomy such as photometric systems, astronomical objects, multiple star systems and others, and defined in the respective domain terms independently of the existing catalogs [1].
Development of multiple object identification system and cross-identification approach This work continues and develops research focused on solving of problems arising in the comprehensive analysis of heterogeneous data sets by available arsenal of scientific methods and tools to identify useful information and to gain new knowledge. Problems of identification and crossmatching of multiple objects in astronomy were observed with a focus on systematization of identification and integrating of multidimensional observational data of different types. Existing methods of identification of single and multiple astronomical objects have been reviewed. BSDB scheme has been daveloped and implemented in Binary star database (BDB). Problems and solutions in cross-identification methods have been correlated to entity resolution methods in computer science including data schema mathing, data indexing in order to reduce pairwise enumeration, data comparison methods, selection of data identifying unique objects or allowing to estimate similarity [2].
Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support
The objective of this study is to analyze, collect and systematize information on the role of hypotheses in the data intensive research process as well as on support of hypothesis formation, evaluation, selection and refinement in course of the natural phenomena modeling and scientific experiments. Facilities of informatics for support of hypothesis-driven experiments, considered in the paper, are aimed at the conceptualization of scientific experiments, hypothesis formulation and browsing in various domains (including biology, biomedical investigations, neuroscience, astronomy), automatic organization of hypothesis-driven experiments. Examples of scientific researches applying hypotheses considered in the paper include modeling of population and structure synthesis of the Galaxy, connectome-related hypothesis testing, studying of temperature trends in Australia, analysis of stock markets applying the EMN (efficient market hypothesis), as well as algorithmic generation of hypotheses in the IBM Watson project. An introduction into the state of the art of the hypothesis-driven research presented in the paper opens a way for investigation of the generalized approaches for efficient organization of hypothesis-driven experiments applicable for various branches of data intensive sciences [3]. Survey of anomaly detection methods for data intensive research An approach to classify different anomaly detection methods according to the way the data is presented. Different applications of the outlier analysis in various cases have been summarized. end we Specific features of the methods suitable for the outlier analysis problem have been overviewed. Future plans include working on the anomaly detection in various fields (e.g. finding peculiar objects in massive digital sky astronomy surveys) [4]. References 1. Skvortsov N.A., Avvakumova E.A., Briukhov D.O., Vovchenko A.E., Volnova A.A., Dluzhnevskaya O.B., Kaygorodov P.V., Kalinichenko L.A., Knyazev A.Y., Kovaleva D.A. Malkov O.Y., Pozanenko A.S., Stupnikov S.A. Problem solving in astronomy using conceptual approach // Astrophysical Bulletin, accepted
2. Kovaleva D.A., Kaygorodov P.V., Malkov O.Y., Kalinichenko L.A., Skvortsov N.A. Problems of Designation and Cross-Identification of Multiple Objects in Astronomy. // RCDL 2014. Dubna: JINR, 2014, p. 198-204 http://ceur-ws.org/Vol-1297/125-131_paper-19.pdf
3. Kalinichenko L.A., Kovalev D.Y., Kovaleva D.A., Malkov O.Y. Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 177-196; http://ceur-ws.org/Vol-1297/104-123_paper- 17.pdf
4. Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey // 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. Dubna: JINR, 2014. P. 42-47. http://ceur- ws.org/Vol-1297/020-25_paper-5.pdf
4. Working group "The service of the electronic library of the astronegatives produced on Zvenigorod Observatory" (INASAN, led by Sergei V. Vereshchagin) The service and support in working order the digital archives was continued. The scanning and cataloging process for the Zvenigorod Astrograph plates was doing with data reduction to a standard format according to WFPDB instruction (some more than 100 plates was scanned. The online information about our work, science groups, tools, volumes and characteristic of the plate and film libraries is presented: 1) on the INASAN site http://www.inasan.ru/rus/scan/; 2) in the Wide Field Plate Data Base in Bulgaria http://wfpdb.org /search/search.cgi (Getting data about archive and each plate, viewing of the negatives, selection plates by the parameters. In the search to use: IDobs - "ZVN", IDins - "040" for Astrograph, IDins - "021" for AFU.); 3) About the Zvenigorod Observatory Telescopes: http://www.inasan.ru/eng/zvenigorod/instr.html
References
1. S.V.Vereshchagin and N.V.Chupina "Photoplates digital archives of the INASAN Zvenigorod Astronomical Observatory". International workshop on scientific use, digitization and preserving astronomical photographic records. Prague, Villa Lanna, March 18-21, 2014 http://www.astroplate.cz/
2. S.V.Vereshchagin and N.V.Chupina Zvenigorod Observatory Scans Arhive Electonic Bibliotecs and Perspective methods and thechnologis, an electronic collections, Dubna, 2014, in: Proc. of the 16th All-Russian Conference "Digital Libraries: Advanced Methods and Technologies" (RCDL-2014), Eds. L.A.Kalmykova, M.R.Kogalovskyi. Dubna, The Joint Institute for Nuclear Research, 411-415. | ||||||||||||||||||
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon) | |||||||||||||||||
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Argentina - NOVA
ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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< < | 1) To join by phone (US/Canada)
1-877-668-4493 Call-in toll-free number (US/Canada) Access code: 731 691 571 2) To join by Internet: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 meeting number: 731 691 571 meeting password: ivoa-e 3) Global call-in numbers: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 Access code: 731 691 571
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Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
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ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
|
<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon)
!!Detailed PHONE INFO Out Of Date - Will be updated prior to telecon!! 1) To join by phone (US/Canada) 1-877-668-4493 Call-in toll-free number (US/Canada) Access code: 731 691 571 2) To join by Internet: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 meeting number: 731 691 571 meeting password: ivoa-e 3) Global call-in numbers: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 Access code: 731 691 571
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
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Fall 2015 – Sydney, Australia (after ADASS) Spring 2016 – VO.China offered to host (May 2014); S Africa offered to host (Oct 2014) | |||||||
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Fall 2016 - Trieste
Argentina - NOVA | |||||||
ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
|
<--
IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon)
!!Detailed PHONE INFO Out Of Date - Will be updated prior to telecon!! 1) To join by phone (US/Canada) 1-877-668-4493 Call-in toll-free number (US/Canada) Access code: 731 691 571 2) To join by Internet: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 meeting number: 731 691 571 meeting password: ivoa-e 3) Global call-in numbers: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 Access code: 731 691 571
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
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France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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IVOA Executive Committee Meeting (TM56)TM56 - Dec 16, 2014 (Telecon)
!!Detailed PHONE INFO Out Of Date - Will be updated prior to telecon!! 1) To join by phone (US/Canada) 1-877-668-4493 Call-in toll-free number (US/Canada) Access code: 731 691 571 2) To join by Internet: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 meeting number: 731 691 571 meeting password: ivoa-e 3) Global call-in numbers: https://sao.webex.com/sao/j.php?MTID=ma4849cc98da68fb2925c01f670e2a037 Access code: 731 691 571
Contents
LogisticsTuesday, Dec 16, 2014 (17:00-18:00 CET)
Agenda TM54
Argentina - NOVA
ArVO
Australia-VO
BRAVO
China-VO
ChiVO
CVO
Euro-VO
ESAVO
France VO
GAVO
HVO
VObs.it
Japan-VO
VAO
RVO
SA^3
SVO
VO-India
Report from the TCG
Reports from the WGs
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