Semantically-Enabled Data Spaces for Intelligent Data Asset Discovery 
21st International Conference on Semantic Systems (SEMANTiCS 25), Vienna, 3-5 September 2025
2025
Συνέδριο/Workshop
- Πληροφορίες: Γιάννης Σταύρακας , Στέλιος Σαρτζετάκης , Δανάη Πλα Καρύδη , Χάρης Νάκος , Θοδωρής Δαλαμάγκας
- Σχετικό ερευνητικό έργο: UNDERPIN
Περίληψη.
We demonstrate KnowDS, a system that extends Data Spaces with semantic search capabilities. We show how KnowDS can leverage the minimal descriptive metadata of the data assets in a Data Space to construct a relevance graph, and how it uses Steiner trees to find relevant items that do not contain any of the query terms. We describe the KnowDS system in detail, and present a running example that showcases its functionality.