Smart Data Models’ Candidates repository now includes two more ETSI SAREF extensions: saref4city and saref4inma, together contributing 35 candidate models. Both ship the full Candidates artifact set — a JSON Schema, an NGSI-LD @context, and all four example serializations — validated against its own schema. SAREF4CITY — 14 models SAREF4CITY… More…
Smart Data Models’ Candidates repository now includes two more ETSI SAREF extensions: saref4agri and saref4auto, together contributing 58 candidate models. Both ship the full Candidates artifact set — a JSON Schema, an NGSI-LD @context, and all four example serializations — validated against its own schema. SAREF4AGRI — 21 models SAREF4AGRI… More…
Smart Data Models’ Candidates repository now includes two more ETSI SAREF extensions, both from the health and personal-devices space: saref4ehaw and saref4wear, together contributing 41 candidate models. Both ship the full Candidates artifact set — a JSON Schema, an NGSI-LD @context, and all four example serializations — validated against its… More…
Smart Data Models’ Candidates repository now includes two more ETSI SAREF extensions, both built around smart metering: saref4watr and saref4grid, together contributing 89 candidate models — the largest pair in this translation round. Both ship the full Candidates artifact set — a JSON Schema, an NGSI-LD @context, and all four… More…
Smart Data Models’ Candidates repository now includes two new candidate standards translated from ETSI’s SAREF (“Smart Applications REFerence”) ontology family: saref4ener and saref4envi, together contributing 116 candidate models. Both are official ETSI Technical Specifications, each with a normative PDF and a published Turtle/JSON-LD/RDF-XML ontology, and both ship the full Candidates… More…
We are happy to announce a new release of our Python package, pysmartdatamodels, version 0.8.2.0. The headline feature is aimed squarely at data spaces: a new function that can give semantic meaning to a payload even when the party who sent it never provided one. What’s New in This Version?… More…
We are happy to announce a new release of our Python package, pysmartdatamodels, version 0.8.1.0, with a refreshed attribute database, a smaller download, and a cleanup of some leftover dead code. What’s New in This Version? Refreshed Data, End to End The package’s bundled data — the official list of… More…
We are happy to announce a new release of our Python package, pysmartdatamodels, version 0.8.0.11, focused on making the SQL schema generation function more robust, fixing how the package exposes its functions, and keeping our GitHub source and published package in sync. What’s New in This Version? More Reliable SQL… More…
Nine new candidate data models are now available in the Smart Data Models Candidates repository, covering business transactions and logistics services for road and rail freight, translated from the SIMPLE project’s extensions to the FEDeRATED Business Service ontology. The models cover the full lifecycle of a freight movement: Consignment and… More…
A new candidate data model is now available in the Smart Data Models Candidates repository: CMR, the international road freight consignment note (“carta de porte”), translated from the SIMPLE project’s extension to the FEDeRATED Digital Twin ontology. CMR documents are the standard legal paperwork accompanying road freight shipments across most… More…
