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- Annastiina Ahola, Lilli Peura, Rafael Leal, Heikki Rantala and Eero Hyvönen: Using generative AI and LLMs to enrich art collection metadata for searching, browsing, and studying art history in Digital Humanities
- Eero Hyvönen, Petri Leskinen, Alexandre Lionnet, Blandine Blukacz-Louisfert, Pierre-Etienne Bourneuf, Davide Rodogno, Grégoire Mallard, and Florian Cafiero: Linked Open Data Approach to Study the Assembly Minutes of International Organizations and Their Underlying Prosopography in the Real World Context
- Eero Hyvönen, Petri Leskinen, Alexandre Lionnet, Blandine Blukacz-Louisfert, Pierre-Etienne Bourneuf, Davide Rodogno, Grégoire Mallard, and Florian Cafiero: A Linked Open Data Infrastructure for Studying Historical Activities of International Organizations: First Results on the League of Nations (1920-1946)
- Petri Leskinen, Eero Hyvönen, Alexandre Lionnet, Blandine Blukacz-Louisfert, Pierre-Etienne Bourneuf, Davide Rodogno, Grégoire Mallard, and Florian Cafiero: A Linked Open Data Service and Semantic Portal to Study the Assembly Minutes and Prosopography of the League of Nations (1920–1946)
KOAN
KOAN is a simple tool for finding duplicate concepts in groups of ontologies. It takes a number of ontologis in SKOS format as an input and produces a the number of duplicates between each ontology pair. It can also be used to provide a list of duplicate concepts.
The main intended use for KOAN is in cleaning up the Finnish Collaborative Holistic Ontology KOKO in order to make sure that the different domain ontologies comprising it are in alignment. Below is a table showing the duplicate concepts within a number of different domain ontologies in KOKO.
Contact:
Matias Frosterus
Helsinki University of Technology, Laboratory of Media Technology
firstname.lastname@tkk.fi
Prof. Eero Hyvönen
Helsinki University of Technology, Laboratory of Media Technology and University of Helsinki
eero.hyvonen [at] tkk.fi
