Semantic Knowledge Generation and Publication at Scale

Creating semantically annotated ‘linked data’ is often perceived as challenging by the human end-user. IDLab therefore has been actively developing tools to automate this data lifting process (RML) as far as possible and is researching annotation interfaces which make linked data generation an attainable goal even for the nontechnical end user. IDLab is one of the frontrunners in publishing information on the web in a cost effective way and has pioneered a system (LDF) which increases the availability of web data by adding the web clients to the querying process. These tools are continuously improved to better scale out, to allow query federation (i.e. query multiple sources at once) and also to enable the interaction with streaming data.

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.

Semantic lifting of tabular data to Linked Data using the RML Editor, as developed in the COMBUST project.

Client interface of the Linked Data Fragments systems which balances the workload of the web query process between servers and clients thus increasing the availability of the web endpoints, allowing query federation and much more..