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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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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Laat zien wat je met techniek allemaal kunt - NRC NEXT - 18-01-18. (2018). Laat zien wat je met techniek allemaal kunt - NRC NEXT - 18-01-18.
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Becher, O.L, Hollink, L, & Elliott, D. (2017). Exploring concept representations for concept drift detection. In CEUR Workshop Proceedings.
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Inreisverbod Trump: Wetenschappers wereldwijd bieden hulp aan collega's - nporadio.nl - 05-02-2017. (2017). Inreisverbod Trump: Wetenschappers wereldwijd bieden hulp aan collega's - nporadio.nl - 05-02-2017.
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2017, January 20). Een combinatie van distributionele semantiek en Linked Open Data voor detectie van veranderende concepten.
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Beauxis-Aussalet, E.M.A.L, & Hardman, L. (2017). Extended Methods to Handle Classification Biases. Presented at the IEEE International Conference on Data Science and Advanced Analytics (DSAA).
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Gligorov, R, Hildebrand, M, van Ossenbruggen, J.R, Aroyo, L, & Schreiber, G. (2017). Topical Video Search: Analysing video concept annotation through crowdsourcing games. Human Computation, 4(1), 47–70. doi:10.15346/hc.v4i1.3
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van Aggelen, A.E, Hollink, L, & van Ossenbruggen, J.R. (2016). Combining distributional semantics and structured data to study lexical change. In Proceedings of the Drift-a-LOD workshop on Detection, Representation and Management of Concept Drift in Linked Open Data (pp. 18–25).
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van Aggelen, A.E, Hollink, L, & van Ossenbruggen, J.R. (2016). Combining distributional semantics and structured data to study lexical change. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 40–49). doi:10.1007/978-3-319-58694-6_4
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Bujdosó, G, Ghezzi, C, Hardman, L, Hillston, J, Jaccheri, M.L, Kirchner, H, & Pereira, C. (2016). More women in informatics research and education. Informatics Europe Women in Informatics Research and Education working group.
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