Finding and explaining relations in a biographical knowledge graph based on life events : Case BiographySampo
Loading...
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2023
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
9
Series
CEUR Workshop Proceedings, Volume 3443
Abstract
This paper presents a knowledge-based approach for finding and explaining “interesting” semantic relations between persons and places in a knowledge graph. As a case study we use the BiographySampo knowledge graph which includes life events extracted from the short biographies of 13 100 prominent historical persons in Finland. We use SPARQL CONSTRUCT queries to extract connections and create human readable explanations based on the events in the knowledge graph, and then offer faceted search tools to search and filter the connections. The results can then be visualized using various charts and maps.Description
| openaire: EC/H2020/101004825/EU//InTaVia
Keywords
Other note
Citation
Rantala, H, Hyvönen, E & Tuominen, J 2023, ' Finding and explaining relations in a biographical knowledge graph based on life events : Case BiographySampo ', CEUR Workshop Proceedings, vol. 3443 . < https://ceur-ws.org/Vol-3443/ESWC_2023_SEMMES_relations.pdf >