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Phrase2Onto: A Tool to Support Ontology Extension
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Database and information techniques. Swedish e-Science Research Centre, Sweden.ORCID iD: 0000-0002-4936-0889
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre, Sweden.ORCID iD: 0000-0003-1881-3969
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Swedish e-Science Research Centre, Sweden.ORCID iD: 0000-0002-5571-0814
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre, Sweden; University of Gävle, Sweden. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
2023 (English)In: 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023) / [ed] Robert Howlett, Elsevier, 2023, p. 1415-1424Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Elsevier, 2023. p. 1415-1424
Series
Procedia Computer Science, E-ISSN 1877-0509 ; 225
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-199521DOI: 10.1016/j.procs.2023.10.130OAI: oai:DiVA.org:liu-199521DiVA, id: diva2:1818196
Conference
27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
Funder
Swedish Research Council, 2018-04147CUGS (National Graduate School in Computer Science)Swedish e‐Science Research CenterAvailable from: 2023-12-08 Created: 2023-12-08 Last updated: 2023-12-22Bibliographically approved

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Abd Nikooie Pour, MinaLi, HuanyuArmiento, RickardLambrix, Patrick

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