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Phrase2Onto: A Tool to Support Ontology Extension
Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Swedish e-Science Research Centre, Sweden.ORCID-id: 0000-0002-4936-0889
Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Linköpings universitet, Tekniska fakulteten. Swedish e-Science Research Centre, Sweden.ORCID-id: 0000-0003-1881-3969
Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Institutionen för fysik, kemi och biologi, Teoretisk Fysik. Swedish e-Science Research Centre, Sweden.ORCID-id: 0000-0002-5571-0814
Linköpings universitet, Institutionen för datavetenskap, Databas och informationsteknik. Linköpings universitet, Tekniska fakulteten. Swedish e-Science Research Centre, Sweden; University of Gävle, Sweden. (IDA/ADIT)ORCID-id: 0000-0002-9084-0470
2023 (engelsk)Inngår i: 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023) / [ed] Robert Howlett, Elsevier, 2023, s. 1415-1424Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Due to importance of data FAIRness (Findable, Accessible, Interoperable, Reusable), ontologies as a means to make data FAIR have attracted more and more attention in different communities and are being used in semantically-enabled applications. However, to obtain good results while using ontologies in these applications, high quality ontologies are needed of which completeness is one of the important aspects. An ontology lacking information can lead to missing results. In this paper we present a tool, Phrase2Onto, that supports users in extending ontologies to make the ontologies more complete. It is particularly suited for ontology extension using a phrase-based topic model approach, but the tool can support any extension approach where a user needs to make decisions regarding the appropriateness of using phrases to define new concepts. We describe the functionality of the tool and a user study using Pizza Ontology. The user study showed  a good usability of the system and high task completion. Further, we report on a real application where we extend the Materials Design Ontology.

sted, utgiver, år, opplag, sider
Elsevier, 2023. s. 1415-1424
Serie
Procedia Computer Science, E-ISSN 1877-0509 ; 225
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-199521DOI: 10.1016/j.procs.2023.10.130OAI: oai:DiVA.org:liu-199521DiVA, id: diva2:1818196
Konferanse
27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
Forskningsfinansiär
Swedish Research Council, 2018-04147CUGS (National Graduate School in Computer Science)Swedish e‐Science Research CenterTilgjengelig fra: 2023-12-08 Laget: 2023-12-08 Sist oppdatert: 2023-12-22bibliografisk kontrollert

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Abd Nikooie Pour, MinaLi, HuanyuArmiento, RickardLambrix, Patrick

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