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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Beauxis-Aussalet, E.M.A.L. (2019, January 28). Statistics and visualizations for assessing class size uncertainty. SIKS Dissertation Series.
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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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Ceolin, D, van Ossenbruggen, J.R, Aroyo, L, Sener, O, Sharma, R, Tkacz, L, & Noordegraaf, J. (2018). Assessing and visualising online information quality. In IEEE 14th International Conference on e-Science (e-Science) (pp. 356–357). doi:10.1109/eScience.2018.00096
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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 IEEE 14th International Conference on eScience, e-Science 2018 (pp. 486–496). doi:10.1109/eScience.2018.00137
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Maddalena, E, Ceolin, D, & Mizzaro, S. (2018). Multidimensional news quality: A comparison of crowdsourcing and nichesourcing. In Proceedings of the 6th International Workshop on News Recommendation and Analytics (INRA 2018).
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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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Beek, W, Raad, J, Wielemaker, J, & van Harmelen, F.A.H. (2018). sameAs.cc: The Closure of 500M owl: sameAs Statements. In The Semantic Web - 15th International Conference, {ESWC} 2018, Heraklion, Crete, Greece, June 3-7, 2018, Proceedings (pp. 65–80). doi:10.1007/978-3-319-93417-4\_5
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