Semantic Web technologies are central to our research in open data, eGovernment, and education systems. We use ontologies, linked data, and metadata standards to enhance data interoperability, discovery, and reuse.
Areas of Interest:
- Ontology engineering and semantic modeling
- Linked Open Data (LOD) platforms and vocabularies
- Semantic enrichment of statistical and government data
- Semantic annotation in eLearning environments
- FAIR principles for data interoperability
We are particularly interested in applying semantic technologies to policy modeling, public administration reform, and educational content personalization. Our team also explores how semantic reasoning and knowledge graphs can enable more intelligent and context-aware digital systems.