Description
Leader of the group Human-Centered Data Analytics: 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.
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News
Critically assessing AI tools and cultural data in digital humanities
While AI and big data are increasingly proving themselves as useful tools for humanities research, better techniques are needed to understand their limitations. In her PhD thesis, CWI researcher Myriam Traub calls for more multidisciplinary collaboration to attain deeper knowledge about this.
CWI research leads to better understanding of AI classification errors
The future of artificial intelligence (AI) looks bright, but AI is not infallible. In her PhD thesis, CWI researcher Emma Beauxis-Aussalet provides methods to make classification errors more transparent and understandable for end-users with limited expertise in AI.
Readers can increase retrievability of documents in the National Library collection
Crowdsourcing can help decrease the bias of the search engine of the ‘Koninklijke Bibliotheek’, the National Library of the Netherlands. CWI researchers will present that finding at the Joint Conference on Digital Libraries in Texas, which takes place on 4 June 2018.
Members
Associated Members
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