Automated Trust and Value Assessment of Web Content
In a technological landscape where data is constantly collected, processed, transformed, exchanged and re-used, it is of vital importance to be transparent to the user who accesses the data at a later time. Therefore, we investigate ways to model and reconstruct the provenance of data, as well as methods to provide proof that the data is suitable for the end user’s needs (Git2PROV). Additionally, we develop techniques that can safeguard the user’s rights when his or her data is processed, such as privacy preservation mechanisms in data mining systems.
Staff
Erik Mannens, Ruben Verborgh, Tom De Nies
Researchers
Dörthe Arndt, Pieter Colpaert, Ben De Meester, Dieter De Paepe, Laurens De Vocht, Dieter De Witte, Anastasia Dimou, Gerald Haesendonck, Pieter Heyvaert, Frank Salliau, Ruben Taelman, Joachim Van Herwegen, Martin Vanbrabant, Miel Vander Sande.
Projects
- COMBUST (iMinds ICON): Large-scale integration and veracity enhancement of business data through data lifting with RML, publishing with LDF, and provenance-based trust assessment
- HOBBIT (H2020 IA): Holistic benchmarking of Big & Linked Data approaches
- SEQUEL (VLAIO R&D): Semantic Federated Query Engine for HealthCare, Life Sciences and Beyond
- EWI (Bila): Large Scale graph visualization platform on top of Linked Open Data.
- FACTS4WORKERS (H2020 IA): Worker-Centric Workplaces in Smart Factories
Key publications
- De Nies, T. 2016. “Enabling Automatic Provenance-based Trust Assessment of Web Content”. Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture. PhD thesis
- Heyvaert, P., Anastasia, D., Herregodts, A., Verborgh, R., Schuurman, D., Mannens, E., and Van de Walle, R. 2016. “RMLEditor: a Graph-based Mapping Editor for Linked Data Mappings.” In Lecture Notes in Computer Science, 9678:709–723. CHAM: SPRINGER INT PUBLISHING AG.
- Dimou, A., Kontokostas, D., Freudenberg, M., Verborgh, R., Lehmann, J., Mannens, E., Hellmann, S., and Van de Walle, R.. 2015. “Assessing and Refining Mappings to RDF to Improve Dataset Quality.” In Lecture Notes in Computer Science, 9367:133–149. CHAM: SPRINGER INT PUBLISHING AG.
- Verborgh, R., Vander Sande, M., Hartig, O., Van Herwegen, J., De Vocht, L., De Meester, B., Haesendonck, G., Colpaert, P., 2016. Triple Pattern Fragments: a Low-cost Knowledge Graph Interface for the Web. Journal of Web Semantics 37–38, 184–206. doi:doi:10.1016/j.websem.2016.03.003
- De Vocht, L., Softic, S., Verborgh, R., Mannens, E., Ebner, M., 2017. ResXplorer: Revealing Relations between Resources for Researchers in the Web of Data. Computer Science and Information Systems (scheduled to be published January 2017).
- Vander Sande, M., Verborgh, R., Dimou, A., Colpaert, P., Mannens, E., 2016. Hypermedia-based Discovery for Source Selection using Low-Cost Linked Data Interfaces. International Journal on Semantic Web and Information Systems 12, 79–110.
- Verborgh, R., Arndt, D., Van Hoecke, S., De Roo, J., Mels, G., Steiner, T., Gabarró Vallés, J., 2016. The Pragmatic Proof: Hypermedia api Composition and Execution. Theory and Practice of Logic Programming.
