Documentation

• A basic VO-DML: Beginner's Guide has been generated to assist data modelers get acquainted with the procedures involved with generating VO-DML compliant models.
• A basic VO-DML: Import Guide has been written to assist data modelersto get acquainted with the model imports in Modelio.
• The VO_DML reference document can be found here
• The draft of the mapping document can be found here

Tutorials

• The Tesselation project proposes is guideline to start with VO-DML. This toy project has been used as support for 2 talks
  • Shanghai 2017 pdf
  • Santiago 2017 pdf

Material

• Project Templates
  • Templates for the 3 supported modelers (Modelio, Magic Draw and Altova) can be found here
  • The ivoa model defining the basics VO-DML data types can be found here
• Models
  • The ivoa model represents a collection of basic types (mostly VODML's PrimitiveType -s) that can be reused by other models to express values in the Models. It has a standard representation as a VODML XML file. A browseable representation of the model is also available.
    The model was developed by Gerard Lemson (GaVO and JHU).
  • Some models are availble in [[https://volute.g-vo.org/svn/trunk/projects/dm/][Volute]. The VO-DML serialization can usally be found in the vo-dml sub-folder. Below is the most achieved model sample.
  • Some toy models are available in the vodml project
  • The STC model is available here
  • The Cude DM is available here
  • The Tesselation model is available here
• A sample of annotated VOTables is available on Volute
  • Cube DM sample
  • Tesselation sample

Tools

• VO-DML model serialization can be build by 3 different ways
  • By hand
  • By using a DLS (tbc)
  • By using a modeler
    • Modelio, Magic Draw and Altova are currently supported
• The data annotation can be set by 3 different ways
  • By hand
  • By using a DSL (tbc)
  • By a Web application (tbc)
• There are 2 ways to parse annotated VOTables
  • MAST portal (tbc)
  • Python API (tbc)