Inferring Ontological Categories of OWL Classes Using Foundational Rules

Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Several efforts that leverage the tools of formal ontology have demonstrated the fruitfulness of considering key metaproperties of classes in ontology engineering. Despite that, it is still a common practice to apply representation schemes and approaches-such as OWL-that do not benefit from identifying ontological categories and simply treat all classes in the same manner. In the original study, we proposed an approach to support the automated classification of classes into the ontological categories underlying the (g)UFO foundational ontology. We proposed a set of inference rules derived from (g)UFO's axiomatization that, given an initial classification of the classes in an OWL ontology, supports the inference of the classification for the remaining classes in the ontology. We formalized these rules, implemented them in a tool, and assessed them against a catalog of ontologies.

Original languageEnglish
Title of host publicationProceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
EditorsKate Larson
PublisherInternational Joint Conferences on Artificial Intelligence
Pages8373-8377
Number of pages5
ISBN (Electronic)9781956792041
StatePublished - 2024
Externally publishedYes
Event33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 - Jeju, Korea, Republic of
Duration: 3 Aug 20249 Aug 2024

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823

Conference

Conference33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
Country/TerritoryKorea, Republic of
CityJeju
Period3/08/249/08/24

Bibliographical note

Publisher Copyright:
© 2024 International Joint Conferences on Artificial Intelligence. All rights reserved.

ASJC Scopus subject areas

  • Artificial Intelligence

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