Description
Leader of the group Information Access: Jacco van Ossenbruggen.
Our research group develops methods and techniques to better support users in accessing information that is heterogeneous, subjective and potentially inconsistent. We focus on the information’s context, using knowledge graphs to model differences in time and other relevant perspectives.
We work together with social scientists and humanities researchers to evaluate how technology can be used to best interpret complex data, by modelling and comparing different assumptions underlying the interpretation. We advocate the notion of transparency in all critical use of technology to improve trust assessments.
Please visit our publication, demo or facebook page for recent updates.
News
Readers can increase retrievability of documents in the National Library collection
Crowdsourcing can help decrease the bias of the search engine of the ‘Koninklijke Bibliotheek’, the National Library of the Netherlands. CWI researchers will present that finding at the Joint Conference on Digital Libraries in Texas, which takes place on 4 June 2018.
Female members of European Parliament more likely to be featured on Wikipedia
Researchers from CWI have found that female members of the European Parliament are slightly more likely to be featured on multiple Wikipedia language editions than their male counterparts. However, the variations between language editions are large: while 10 editions over-represent women, 13 editions over-represent men.
ADS & Insight PhD position at CWI
Amsterdam Data Science, in which CWI participates as a partner, recently announced that 3 PhD projects will shortly commence, fully funded by Science Foundation Ireland (an award of around 0.5M€).
Hardman new chair Amsterdam Data Science, Boncz joins Supervisory Board
As of January 2018, CWI researcher Lynda Hardman is the new chair of the management team of Amsterdam Data Science. Peter Boncz, CWI researcher and part of the CWI management team, will join the ADS Supervisory Board.
Members
Associated Members
Publications
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Bogaard, T, Hollink, L, Wielemaker, J, van Ossenbruggen, J.R, & Hardman, L. (2018). Metadata categorization for identifying search patterns in a digital library. Journal of Documentation. doi:10.1108/JD-06-2018-0087
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Dijkshoorn, C, Aroyo, L, van Ossenbruggen, J.R, & Schreiber, G. (2018). Modeling cultural heritage data for online publication. Applied Ontology, 13(4), 255–271. doi:10.3233/AO-180201
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Bilgin, A, Hollink, L, van Ossenbruggen, J.R, Tjong Kim Sang, E, Smeenk, K, Harbers, F, & Broersma, M. (2018). Utilizing a transparency-driven environment toward trusted automatic genre classification: A case study in journalism history. In Proceedings of the IEEE e-Science Conference.
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Beauxis-Aussalet, E.M.A.L, van Doorn, J, & Hardman, L. (2018). Supporting End-User Understanding of Classification Errors. doi:10.1145/3232078.3232096
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Riguzzi, F, Wielemaker, J, & Zese, R. (2018). Probabilistic inference in SWI-Prolog. In CEUR Workshop Proceedings (pp. 15–27).
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Verberne, S, He, J, Kruschwitz, U, Larsen, B, Russell-Rose, T, & de Vries, A.P. (2018). First international workshop on professional search (ProfS2018). In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 (pp. 1431–1434). doi:10.1145/3209978.3210198
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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: The case of the European parliament. doi:10.1145/3201064.3201108
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Bogaard, T, Hardman, L, Hollink, L, van Ossenbruggen, J.R, & Wielemaker, J. (2018). On the interplay between search behavior and collections in digital libraries and archives. In CHIIR 2018 - Proceedings of the 2018 Conference on Human Information Interaction and Retrieval (pp. 339–341). doi:10.1145/3176349.3176350
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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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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.
Software
Amalgame: Managing alignments in large vocabularies
Amalgame, short for AMsterdam ALignment GenerAtion MEtatool, is a Semantic Web tool for finding, evaluating and managing vocabulary alignments, i.e. relating corresponding concepts in different vocabularies.
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)
Related partners
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Elsevier
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Stichting Nederlands Instituut voor Beeld en Geluid
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ERCIM
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Koninklijke Bibliotheek
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Rijksuniversiteit Groningen