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
Proposal 'Inside the filter Bubble' granted
Recently, the project proposal "Inside the filter bubble" was granted in the JEDS call for cross-sectoral scientific challenges by NWO and the eScience Centre. In this project, Laura Hollink (CWI) collaborates with communication scientists at VU and UvA and Computational Linguists at VU to determine the existence and impact of filter bubbles in mobile news consumption.
NEWSGAC project kicked off
The NEWSGAC project, acquired by Laura Hollink and Jacco van Ossenbruggen, has kicked off last week week. Researchers of this project aim to open the 'black box' of machine learning in this joint project with the eScience Centre, the University of Groningen, the National Library of the Netherlands and the Netherlands Institute for Sound and Vision.
First CWI thesis on web archiving
Thaer Samar successfully defended his PhD thesis "Access to and Retrievability of Content in Web Archives" on 30 October 2017
Lynda Hardman appointed Professor of Multimedia Discourse Interaction
Lynda Hardman has been appointed professor of Multimedia Discourse Interaction at Utrecht University. It is a parttime appointment that Hardman will combine with her position as researcher in the Information Access group and Management Team member at CWI, and President of the Board of Informatics Europe.
Members
Associated Members
Publications
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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.
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Eickhoff, C, Gwizdka, J, Hauff, C, & He, J. (2017). Introduction to the special issue on search as learning. Information Retrieval Journal, 20(5), 399–402. doi:10.1007/s10791-017-9315-9
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