- FIN-CLARIAH Research Infrastructure
A new national research infrastructure initiative FIN-CLARIAH for...
8.12.2021 8:12 by eahyvone - WarMemoirSampo published on December 3, 2021
A new “Sampo” application, “WarMemoirSampo”...
8.12.2021 8:04 by eahyvone - Five new SeCo papers accepted for the ISWC 2021
The 20th International Semantic Web Conference (ISWC 2021), the...
2.8.2021 6:53 by eahyvone
- 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)
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ArtSampo
Finnish Art on the Semantic Web |
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ArtSampo is a collaborative Finnish Linked Open Data (LOD) infrastructure for publishing fine art collections on the Semantic Web and for facilitating Digital Humanities (DH) research. The infrastructure consists of a Knowledge Graph (KG) whose initial version was compiled from the metadata of the three art museums of the Finnish National Gallery. A semantic ArtSampo portal was built on top of the KG for searching, browsing, and analyzing the underlying data. The Finnish ontology infrastructure and international datasets are used for harmonizing and enriching the data. In addition, Generative AI boosted by Large Language Models are used for creating metadata.
More information about this project is available in the publications below and on the Finnish homepage.
Contact Person
Prof. Eero Hyvönen, Aalto University and Univerity of Helsinki (HELDIG)


