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Assessment of OGC Training DML-AI - EIF Scenario 1.0.0 Latest release

Published on: 22/02/2024 Last update: 06/06/2024

About the Common Assessment Method for Standards and Specifications (CAMSS

CAMSS is the European guide for assessing and selecting standards and specifications for an eGovernment project, a reference when building an architecture and an enabler for justifying the choice of standards and specifications in terms of interoperability needs and requirements. It is fully aligned with the European Standardisation Regulation 1025/2012. 

CAMSS Assessment 

CAMSS Assessment is a solution which corresponds to the output of an assessment of a standard, technical specification or standard developing/setting organisation using the CAMSS Assessment EIF Scenario. Each assessment produced is considered a CAMSS Assessment once it is approved by the CAMSS Team. Any approved assessment is published by the CAMSS Team and publicly available in Joinup. 

Training Data Markup Language for Artificial Intelligence (TrainingDML-AI)

Assessment of Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) with the Common Assessment Method for Standards and technical Specifications (CAMSS). 

The Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Standard aims to develop the UML model and encodings for geospatial machine learning training data. This Standard defines a UML model and encodings consistent with the OGC Standards baseline to exchange and retrieve the training data in the Web environment.

The specification has been developed and maintained by the Open Geospatial Consortium (OGC).

The assessment has been performed with the CAMSS Assessment EIF Scenario v6.0.0

Release details 

This release consists of the following release components: 

  • CAMSS Assessment of Training DML-AI; The assessment of the Technical Specification performed using the CAMSS Assessment EIF Scenario. 
  • CAMSS Assessment of Training DML-AI in RDF format; The assessment of the Technical Specification in RDF format. 
  • CAMSS Assessment Summary of Training DML-AI EIF Scenario v1.0.0; Summary of the assessment performed containing the different justifications for the CAMSS criteria per category, the results of the assessments and additional observations. 
  • CAMSS Info Package v8.1.0; Document explaining briefly CAMSS action’s context. 
  • CAMSS Assessment of Training DML-AI EIF Scenario Release Notes v1.0.0; The release notes of this CAMSS Assessment release. 
  • CAMSS Assessment of Training DML-AI EIF Scenario Release; An archive containing each of the above mentioned files.
Last update: 20/06/2024

CAMSS Assessment Summary of Training DML-AI EIF Scenario v1.0.0

European Union Public Licence, Version 1.2 or later (EUPL)
Last update: 22/02/2024

CAMSS Info Package v8.1.0

European Union Public Licence, Version 1.2 or later (EUPL)
Last update: 20/06/2024

CAMSS Assessment of Training DML-AI EIF Scenario Release

European Union Public Licence, Version 1.2 or later (EUPL)
Last update: 22/02/2024

CAMSS Assessment of Training DML-AI in RDF format

European Union Public Licence, Version 1.2 or later (EUPL)
Last update: 22/02/2024

CAMSS Assessment of Training DML-AI EIF Scenario Release Notes v1.0.0

European Union Public Licence, Version 1.2 or later (EUPL)
Last update: 22/02/2024

CAMSS Assessment of Training DML-AI

European Union Public Licence, Version 1.2 or later (EUPL)