Announcement

Semantics: A Semantic Layer for Your Data Products

Entropy Data now provides a Semantic Layer to connect Data Products with the business and to provide context to AI agents.

Semantics diagram view with concepts and relationships rendered as an interactive graph — Diagram view of a Semantics namespace, showing the EBU Core Plus media ontology imported into Entropy Data.

Model your business domain as concepts (entities, shared properties, metrics) and typed relationships, then link those concepts to your data products and data contracts via ODCS authoritativeDefinitions. Consumers find data by meaning rather than by column name, teams agree on one definition per term, and AI agents get the context they need to query data correctly.

Concepts carry names and descriptions in any number of languages, and Entropy Data ships with ready-to-import industry ontologies (EBU Core Plus, GoodRelations, FIBO, CGMES, IDMP, EPCIS, IATA ONE Record, TM Forum SID). EBU Core Plus, for instance, comes with English, German, and French labels out of the box.

Read the Semantics guide for the full walkthrough: the four concept kinds, YAML examples, the Find Definition picker in the Data Contract Editor, reverse lookup from concept pages, and the SPARQL endpoint.

Commitment to open standards: OSI

Just as we bet on Bitol's Open Data Contract Standard and Open Data Product Standard for contracts and products, we are committing to open standards for the semantic layer. Entropy Data has joined the Open Semantic Interchange (OSI) initiative, a vendor-agnostic effort to standardize how semantic models are exchanged between BI platforms, AI agents, and analytics tools. We will support the upcoming OSI Ontology standard natively so that your concepts, metrics, and relationships remain portable across your ecosystem.

Learn more in the Semantics guide.