Building Lightweight Ontologies for Faceted Search with Named Entity Recognition: Case WarMemoirSampo
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A4 Artikkeli konferenssijulkaisussa
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Date
2022-08-11
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en
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17
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CEUR Workshop Proceedings, Volume 3184, pp. 19-35
Abstract
This paper discusses building lightweight ontologies for faceted search user interfaces with Named Entity Recognition (NER) from textual data. This is studied in the context of building a Knowledge Graph for the textual indexing of interview videos in the in-use WarMemoirSampo system, consisting of a Linked Open Data service and an open semantic web portal for contextualized video viewing. It is shown that state-of-the-art NER tools are able to find entities from textual data and categorize them with high enough recall and precision to be useful for building facet ontologies, without involving considerable manual domain ontology engineering. To enable entity disambiguation and to be able to show relevant contextual information and useful links for the users of the portal, also Named Entity Linking techniques are employed.Description
Funding Information: Ilpo Murtovaara, Markus Merenmies, and Kare Salonvaara contributed in creating the videos and their metadata used in the work of this paper. Tammenlehvän Perinneliitto ry with the National Archives of Finland funded our work. The work is partly related and funded by the EU project InTaVia: In/Tangible European Heritage20, and the EU COST action Nexus Linguarum21 on linguistic data science. The authors acknowledge CSC – IT Center for Science, Finland, for providing for computational resources. Publisher Copyright: © 2022 Copyright for this paper by its authors. | openaire: EC/H2020/101004825/EU//InTaVia
Keywords
Faceted Search, Information Extraction, Linked Data, Named Entity Linking, Named Entity Recognition, Ontologies
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Koho, M, Leal, R, Ikkala, E, Tamper, M, Rantala, H & Hyvönen, E 2022, ' Building Lightweight Ontologies for Faceted Search with Named Entity Recognition : Case WarMemoirSampo ', CEUR Workshop Proceedings, vol. 3184, pp. 19-35 . < http://ceur-ws.org/Vol-3184/TEXT2KG_Paper_2.pdf >