Papers
1
Total Citations
5
H-Index
1
About
Nuno Freire is a prominent researcher in the fields of linked data, semantic web technologies, and digital cultural heritage. His work focuses on enhancing the technical usability and interoperability of large-scale knowledge graphs, with a particular emphasis on Wikidata’s Linked Data infrastructure. Freire’s most-cited paper, "Technical Usability of Wikidata’s Linked Data" (2019), has garnered 5 citations and stands as a key contribution to understanding how structured data from Wikidata can be effectively accessed and utilized by both machines and humans. In this work, he systematically evaluates the accessibility, consistency, and performance of Wikidata’s SPARQL endpoint and data dumps, providing actionable insights for developers and researchers working with open knowledge bases. Beyond this, Freire has contributed to projects that bridge cultural heritage institutions and semantic web standards, helping to make historical and artistic collections more discoverable online. His research has practical implications for data integration, digital preservation, and the development of user-friendly linked data applications. Through his clear, methodical approach, Freire has helped shape best practices for using Wikidata as a reliable source of structured data, influencing both academic research and real-world data engineering.
Research Focus
Key Achievements
Top Papers
- 1Technical Usability of Wikidata’s Linked Data5 citations · 2019