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Modular ontology modeling
Kansas State Univ, Dept Comp Sci, Manhattan, KS 66506 USA..
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-8767-4136
Kansas State Univ, Dept Comp Sci, Manhattan, KS 66506 USA..
2023 (English)In: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 14, no 3, p. 459-489Article in journal (Refereed) Published
Abstract [en]

Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently difficult. In our experiences, we have found this to be the case for several reasons: (i) differing representational granularity in ontologies and in use-cases, (ii) lacking conceptual clarity in potentially reusable ontologies, (iii) lack and difficulty of adherence to good modeling principles, and (iv) a lack of reuse emphasis and process support available in ontology engineering tooling. In order to address these concerns, we have developed the Modular Ontology Modeling (MOMo) methodology, and its supporting tooling infrastructure, CoModIDE (the Comprehensive Modular Ontology IDE - "commodity"). MOMo builds on the established eXtreme Design methodology, and like it emphasizes modular development and design pattern reuse; but crucially adds the extensive use of graphical schema diagrams, and tooling that support them, as vehicles for knowledge elicitation from experts. In this paper, we present the MOMo workflow in detail, and describe several useful resources for executing it. In particular, we provide a thorough and rigorous evaluation of CoModIDE in its role of supporting the MOMo methodology's graphical modeling paradigm. We find that CoModIDE significantly improves approachability of such a paradigm, and that it displays a high usability.

Place, publisher, year, edition, pages
IOS Press, 2023. Vol. 14, no 3, p. 459-489
Keywords [en]
Modular ontology modeling, ontology design patterns, knowledge engineering
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-60347DOI: 10.3233/SW-222886ISI: 000970311200001Scopus ID: 2-s2.0-85161327746Local ID: HOA;intsam;880128OAI: oai:DiVA.org:hj-60347DiVA, id: diva2:1756850
Available from: 2023-05-15 Created: 2023-05-15 Last updated: 2023-06-21Bibliographically approved

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Hammar, Karl

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