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
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.
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
Members
Associated Members
Publications
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Koolen, M, van Gorp, J, & van Ossenbruggen, J.R. (2018). Toward a model for digital tool criticism: Reflection as integrative practice. Digital Scholarship in the Humanities. doi:10.1093/llc/fqy048
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Ceolin, D, van Son, C, Aroyo, L, Noordegraaf, J, Sener, O, Sharma, R, … Bod, R. (2018). InfoQ: Computational Assessment of Information Quality on the Web. In Digital Humanities, DHBenelux.
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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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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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Ceolin, D, Tkacz, L, Sharma, R, & van Son, C. (2018). Bursting the bubble with a needle from the haystack.
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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
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Beauxis-Aussalet, E.M.A.L, & Hardman, L. (2018). Extended methods to handle classification biases.
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Beek, W, Ilievski, F, Debattista, J, Schlobach, S, & Wielemaker, J. (2018). Literally better: Analyzing and improving the quality of literals. Semantic Web – Interoperability, Usability, Applicability, 9(1), 131–150.
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
Related partners
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Elsevier