Jacco van Ossenbruggen
- Full Name
- Dr. J.R. van Ossenbruggen
- Function(s)
- Groupleader, Scientific Staff Member
- Jacco.van.Ossenbruggen@cwi.nl
- Telephone
- +31 20 592 4141
- Room
- L333
- Department(s)
- Information Access
- Homepage
- http://homepages.cwi.nl/~jrvosse/
Biography
Jacco van Ossenbruggen is leading the Information Access group at Centrum Wiskunde & Informatica (CWI) in Amsterdam, and affiliated as an associate professor with the Web & Media research group at VU University in Amsterdam. His research interests include assessment of data quality in large, heterogeneous research datasets in the digital humanities, large scale web data integration and linking in cultural heritage and other data rich domains. On a national level, he is currently collaborating with the Dutch National Library in the context of the COMMIT project. On an international level, Jacco and his group participate in the European VRE4EIC project, focusing on assessment of data quality in large, interdisciplinary research infrastructures. Jacco obtained a PhD in computer science from VU University Amsterdam in 2001.
Publications
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Traub, M.C, van Ossenbruggen, J.R, Samar, T, & Hardman, L. (2018). Impact of Crowdsourcing OCR Improvements on Retrievability Bias. In ACM International Conference Proceeding Series. doi:10.1145/3197026.3197046
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2018). Using the web of data to study gender differences in online knowledge sources. doi:10.1145/3201064.3201108
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2018). Using the web of data to study gender differences in online knowledge sources. doi:10.5281/zenodo.1232929
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Samar, T, Traub, M.C, van Ossenbruggen, J.R, Hardman, L, & de Vries, A.P. (2018). Quantifying retrieval bias in Web archive search. International Journal on Digital Libraries, 19(1), 57–75. doi:10.1007/s00799-017-0215-9
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Dijkshoorn, C, Jongma, L, Aroyo, L, van Ossenbruggen, J.R, Schreiber, G, ter Weele, W, & Wielemaker, J. (2018). The Rijksmuseum collection as linked data. Semantic Web – Interoperability, Usability, Applicability, 9(2), 221–230. doi:10.3233/SW-170257
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Bogaard, T, Wielemaker, J, Hollink, L, & van Ossenbruggen, J.R. (2017). SWISH DataLab: A Web Interface for Data Exploration and Analysis. In BNAIC 2016: Artificial Intelligence.
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2017). Bias in the analysis of multilingual legislative speech. In Proceedings of Digital Humanities Benelux Conference 2017.
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Melgar Estrada, L, Hildebrand, M, de Boer, V, & van Ossenbruggen, J.R. (2017). Time-based tags for fiction movies: comparing experts to novices using a video labeling game. Journal of the American Society for Information Science and Technology , 68(2), 348–364. doi:10.1002/asi.23656
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Gligorov, R, Hildebrand, M, van Ossenbruggen, J.R, Aroyo, L, & Schreiber, G. (2017). Topical Video Search: Analysing video concept annotation through crowdsourcing games. Human Computation, 4(1), 47–70. doi:10.15346/hc.v4i1.3
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van Aggelen, A.E, Hollink, L, & van Ossenbruggen, J.R. (2016). Combining distributional semantics and structured data to study lexical change. In Proceedings of the Drift-a-LOD workshop on Detection, Representation and Management of Concept Drift in Linked Open Data (pp. 18–25).
Current projects with external funding
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Automated Knowledge Graph Creation from Scientific Literature
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News Genres: Advancing Media History by Transparent Automatic Genre Classification (NEWSGAC)
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A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration (VRE4EIC)
Professional activities
- Professor: associate professor - VU , Web & Media groep
Awards
- Semantic Web Challenge - The MultimediaN E-Culture demonstrator (2006)