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
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.
Arjen P. de Vries appointed Professor of Information Retrieval at Radboud University
Arjen P. de Vries is appointed full-time Professor of Information Retrieval at Radboud University Faculty of Science per 1 November 2015. He is currently group leader of the Information Access group at CWI. He will be succeeded as group leader by Jacco van Ossenbruggen.
Lynda Hardman President Informatics Europe
Today, Lynda Hardman, member of the management team at Centrum Wiskunde & Informatica (CWI) in Amsterdam, has been elected President of the Board of Informatics Europe, the European association of computer science departments and research laboratories.
Lodlam Open Data Prize for Polimedia
Researchers from Centrum Wiskunde & Informatica (CWI), VU University (VU), Erasmus University Rotterdam (EUR), Delft University of Technology (TU Delft) and the Netherlands Institute for Sound and Vison have been awarded the Lodlam Open Data Prize for the Polimedia research project.
Members
Associated Members
Publications
-
Traub, M.C, van Ossenbruggen, J.R, Samar, T, & Hardman, L. (2018). Impact of Crowdsourcing OCR Improvements on Retrievable Bias. In ACM International Conference Proceeding Series. doi:10.1145/3197026.3197046
-
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.
-
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.
-
Becher, O.L, Hollink, L, & Elliott, D. (2017). Exploring concept representations for concept drift detection. In CEUR Workshop Proceedings.
-
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.
-
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.
-
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).
-
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
-
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).
-
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
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
-
Automated Knowledge Graph Creation from Scientific Literature
-
News Genres: Advancing Media History by Transparent Automatic Genre Classification (NEWSGAC)
-
A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration (VRE4EIC)
Related partners
-
Elsevier
-
Stichting Nederlands Instituut voor Beeld en Geluid
-
ERCIM
-
Koninklijke Bibliotheek
-
Rijksuniversiteit Groningen