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
Spinque and Institute for Sound and Vison launch CultuurLINK
Spinque, a spin off company of Centrum Wiskunde & Informatica (CWI) for advanced search technology, and the Netherlands Institute for Sound and Vision have launched CultuurLINK, a new public service for cultural heritage organizations.
Lynda Hardman appointed Distinguished Scientist ACM
Lynda Hardman, senior researcher and scientific staff member at Centrum Wiskunde & Informatica (CWI) in Amsterdam has been named Distinguished Scientists by ACM, the Association for Computing Machinery.
Honorary mention for Linked TV News
At the Ibero American Biennial of Design (BID) in Madrid, researchers Lilia Perez and Michiel Hildebrand from the Centrum Wiskunde & Informatica (CWI) in Amsterdam, have been awarded a honorary mention in the category Digital Design for the concept and interaction design of Linked TV News.
Successful LinkedTV demo at IBC2014
The EU LinkedTV project, in which CWI is participating, had a successful presentation on the future of television in its booth during the large IBC2014 conference in the RAI, from 11-16 September 2014. Over 55,000 people attended the meeting and the exhibition.
Members
Associated Members
Publications
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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
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Samar, T, Traub, M.C, van Ossenbruggen, J.R, Hardman, L, & de Vries, A.P. (2017). Quantifying retrieval bias in Web archive search. International Journal on Digital Libraries. doi:10.1007/s00799-017-0215-9
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Piscopo, A, Siebes, R, & Hardman, L. (2017). Predicting Sense of Community and Participation by Applying Machine Learning to Open Government Data. Policy and Internet, 9(1), 55–74.
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He, J, & Yilmaz, E. (2017). User behaviour and task characteristics: A field study of daily information behaviour. In CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval (pp. 67–76). doi:10.1145/3020165.3020188
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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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van Aggelen, A.E, Hollink, L, (Max) Kemman, M, (Martijn) Kleppe, M, & Beunders, H. (Henri). (2017). The debates of the European Parliament as Linked Open Data. Semantic Web – Interoperability, Usability, Applicability, 8(2), 271–281. doi:10.3233/SW-160227
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He, J, Qvarfordt, P, Halvey, M, & Golovchinsky, G. (2016). Beyond actions: exploring the discovery of tactics from user logs. Information Processing and Management, 52(6), 1200–1226. doi:10.1016/j.ipm.2016.05.007
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Boom, B.J, Beauxis-Aussalet, E.M.A.L, Hardman, L, & Fisher, R.B. (2016). Uncertainty‑aware estimation of population abundance using machine learning. Multimedia Systems, 22, 737–749. doi:10.1007/s00530-015-0479-0
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People of ACM - Meet Lynda Hardman - ACM - 23-08-2016. (2016). People of ACM - Meet Lynda Hardman - ACM - 23-08-2016.
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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Behavior-aware Search Evaluation for Information Retrieval
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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