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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Beauxis-Aussalet, E.M.A.L, van Doorn, J, & Hardman, L. (2018). Supporting End-User Understanding of Classification Errors. Information Access [IA].
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Gangemi, A, Navigli, R, Vidal, M.-E, Hitzler, P, Troncy, R, Hollink, L, & Tordai, A. (2018). Preface of the Proceedings of the 2018 edition of the Extended Semantic Web Conference (ESWC 2018). Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (p. V–VII).
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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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Terugblik op VOGIN-IP-lezing - IP Informatie Professional - 31-05-18. (2018). Terugblik op VOGIN-IP-lezing - IP Informatie Professional - 31-05-18.
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Yin, Y, Zuiderwijk, A, van Ossenbruggen, J.R, G. Jeffery, K, Luthfi, A, & Janssen, M. (2018). How to improve policy making using open data in Virtual Research Environments? An interactive workshop discussing privacy, security and trust strategies. In ACM International Conference Proceeding Series. doi:10.1145/3209281.3209307
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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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Big data en data-mining - vogin-ip-lezing.net - 28-03-18. (2018). Big data en data-mining - vogin-ip-lezing.net - 28-03-18.
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Xie, X, Liu, Y, de Rijke, M, He, J, Zhang, M, & Ma, S. (2018). Why people search for images using web search engines. In WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining (pp. 655–663). doi:10.1145/3159652.3159686
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Su, N, He, J, Liu, Y, Zhang, M, & Ma, S. (2018). User intent, behaviour, and perceived satisfaction in product search. In Proceedings of the International Conference on Web Search and Data Mining (pp. 547–555). doi:10.1145/3159652.3159714
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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
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