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.
Please visit our publication or demo page for recent updates.
Vacancies
No vacancies currently.
News
New collaboration develops AI for cultural heritage
CWI starts a new collaboration around artificial intelligence with heritage and research institutions. In the Cultural AI Lab they will jointly explore the possibilities of AI for cultural research and raise AI’s awareness of the cultural context.
Nieuwe samenwerking ontwikkelt kunstmatige intelligentie voor cultureel erfgoed
CWI start samen met erfgoed- en onderzoeksinstellingen een nieuwe samenwerking rondom kunstmatige intelligentie (AI). In het Cultural AI Lab gaan ze gezamenlijk de mogelijkheden van AI inzetten voor cultureel onderzoek en de techniek bewustmaken van de culturele context.
Cultural AI and its steady acceptance in the heritage sector
The heritage sector is learning to embrace artificial intelligence. This certainly is encouraging, according to CWI researcher Jacco van Ossenbruggen and Martijn Kleppe, head of research at the National Library of the Netherlands. Both researchers advocate the use AI, and point out recent advances in this field.
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.
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 ()
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Culturally aware AI (AI:CULT)
Related partners
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Elsevier
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KNAW - Meertens Instituut