Rapport (Rapport Contrat/Projet) Année : 2023

Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for GAia-X D4.1 Data ingestion, Common Information Model and semantic interoperability

Résumé

This deliverable – entitled "D4.1 - Data ingestion, Common Information Model and semantic interoperability" – incorporates the results produced by two tasks “T4.3 - Common Information Model and semantic interoperability” and “T4.2 - Data ingestion and adapters”. Its purpose is to document the implementation for OMEGA-X federated infrastructure from the perspective of these two tasks. • the Common Semantic Data Model (CSDM) ruling the data exchanges in the OMEGA-X Data Space and formerly called the Common Information Model, • the Framework for data ingestion and data adapters, to be used for and tailored to the demonstrations on pilot sites. Common Semantic Data Model (CSDM) Prior to producing CSDM, a review of key data models and ontologies and an analysis of main interactions of OMEGA-X uses cases have been conducted. An agile development method for ontologies have been specified. • Eight data models/ontologies have been reviewed: PLATOON/SEDMOON, SEAS, BD4OPEM, Interconnect, SARGON, IEC CIM, DLSM-COSEM, and IEC 61850. Gap analysis has led to the conclusion that none of these models/ontologies fully cover the needs of OMEGA-X use cases. • Joint workshops have been held during summer with ontologists and use case leaders. They co-designed Interaction Models, that describe the main interactions that should be supported by CSDM. • AIME (Agile Interaction model-based Methodology for Energy data spaces) is a tailored methodology to develop interaction models and harmonize them into a common CSDM. This version of the Common Semantic Data Model (CSDM) is composed of two modules: an upper-level ontology describing time series and events and a domain ontology for data sets exchanged inside an Energy Dataspace. Framework for data ingestion and data adapters Architecture principles and building blocks for a framework for data ingestion and data adapters have been defined from the analysis of key architectures (e.g., IDSA, Gaia-X, ISO) and the synthesis of requirements from the use case and demonstration leaders. Some preliminary technical orientations have been taken in support to data interactions inside an Energy Dataspace: • JSON-LD (JavaScript Object Notation for Linked Data) as the preferred data format solution. • REST-APIs (REpresentational State Transfer Application Programming Interface) as the preferred data communication API and protocol.

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Dates et versions

hal-05149714 , version 1 (21-07-2025)

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  • HAL Id : hal-05149714 , version 1

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Éric Lambert, Bruno Traverson, Alzennyr Gomes da Silva, Lina Nachabe Ismail, Maxime Lefrançois, et al.. Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for GAia-X D4.1 Data ingestion, Common Information Model and semantic interoperability. European Union’s Horizon Europe Framework Programme. 2023, pp.159. ⟨hal-05149714⟩
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