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Bringing Semantics into the Common European Agricultural Data Space: (Meta)data enrichment with controlled vocabularies in Pontus-X

Bringing Semantics into the Common European Agricultural Data Space: (Meta)data enrichment with controlled vocabularies in Pontus-X

Miranda Filipi, Roberto García, Miguel Pincheira, Raffaele Giaffreda Clement Jonquet
3rd NeXt-generation Data Governance workshop (NXDG 2026), co-located with the 22nd SEMANTiCS conference,
3rd NeXt-generation Data Governance workshop (NXDG 2026), co-located with the 22nd SEMANTiCS conference (Ghent, Belgium, 15/09/2026–17/09/2026)
28/08/2026
Semantic Interoperability Data Space Ontologies Controlled Vocabularies Pontus-X AgriFoodTEF AgrospAI GeoDCAT-AP DCAT AgroPortal
The Common European Agricultural Data Space (CEADS) aims to enable trusted and interoperable data sharing across the European agri-food sector through a federated ecosystem of Data Sharing Initiatives (DSIs). Achieving semantic interoperability, however, requires not only governance and technical alignment, but also shared, machine-interpretable semantics that support the discovery, integration, and reuse of heterogeneous data assets. In CEADS, this is being addressed through the adoption of DCAT-AP and its extensions, together with controlled vocabularies and semantic enrichment mechanisms. This paper presents three complementary preliminary contributions implemented across two Pontus-X-based CEADS DSIs, AgrospAI and AgriFoodTEF. First, AgroAnnotator integrates the AgroPortal Annotator into an AgrospAI compute-to-data workflow to generate ontology-based semantic annotations for textual datasets. Second, two publication-time metadata enrichment prototypes support controlled-term selection for data asset descriptions: a generic AgroPortal-based integration in AgrospAI and an AGROVOC-specific implementation in AgriFoodTEF DSI. Third, Pontus-X-native metadata are exposed through a GeoDCAT-AP wrapper in AgrospAI and a DCAT catalogue endpoint in AgriFoodTEF DSI, supporting standards-aligned catalogue interoperability. The proposed components are validated through annotation-quality assessment, end-to-end functional experiments, and metadata conformance testing. Collectively, these contributions demonstrate practical pathways for incrementally embedding vocabulary-driven semantics into existing data space infrastructures, providing a foundation for semantic interoperability within CEADS and an approach potentially reusable in other federated data spaces.

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