ONTOLISST combines existing social science ontologies with new algorithms to optimise topic assignment in multilingual contexts. It explores how standard background variables, such as gender or age, can be included in non-thematic metadata. The ultimate goal is to create cost-effective discovery tools in multiple EU languages, improving access to and visibility of social science research for a diverse group of users, from expert audiences to policymakers.
Funding source
OSCARS cascading grants program. OSCARS has received funding from the European Commission’s Horizon Europe Research and Innovation programme under grant agreement No. 101129751.
Coordinating organisation
HUN-REN Centre for Social Sciences
Partners
Research Documentation Centre, Fondation Nationale des Sciences Politiques, Center for Socio-political Data
Contact persons
Mari Kleemola
Development Manager
Mari Kleemola