ENVRI-Hub NEXT_D10.1_Semantic Search in ENVRI Catalogue and RI Catalogues

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Authors: Thierry Carval, Zhiming Zhao, Delphine Dobler, Erwan Bodéré
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Semantic Web and Ontologies Research Data Management Practices Environmental Monitoring and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN