ENVRI-Hub NEXT_D10.1_Semantic Search in ENVRI Catalogue and RI Catalogues
This deliverable addresses data discovery challenges in European environmental research infrastructures by documenting semantic search capabilities within ENVRI-Hub NEXT. We assessed existing semantic infrastructures across the ENVRI community, identifying operational SPARQL endpoints in ICOS, Euro-Argo, SeaDataNet, and the NERC Vocabulary Server. Our architecture integrates Semantic Web technologies with Large Language Models through the Model Context Protocol, enabling natural language queries across federated knowledge graphs. We recommend adopting the SKG-IF standard for metadata harmonization and defining a 12-month roadmap with user stories and success criteria. This work aims to democratize environmental data access and advance FAIR principles implementation.
Authors
- Delphine Dobler
- Erwan Bodéré (ORCID: https://orcid.org/0000-0002-0507-4274)
- Thierry Carval
- Zhiming Zhao
Institutions
- Ifremer (FR)
- University of Amsterdam (NL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-30
- DOI
- https://doi.org/10.5281/zenodo.18433331
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00