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Expressibility of OWL Axioms with Patterns

  • Aaron Eberhart
  • , Cogan Shimizu
  • , Sulogna Chowdhury
  • , Md Kamruzzaman Sarker
  • , Pascal Hitzler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The high expressivity of the Web Ontology Language (OWL) makes it possible to describe complex relationships between classes, roles, and individuals in an ontology. However, this high expressivity can be an obstacle to correct usage and wide adoption. Past attempts to ameliorate this have included the development of specific, presumably human-friendly syntaxes, such as the Manchester syntax or graphical interfaces for OWL axioms, albeit with limited success. If modelers want to develop suitable OWL axioms it is important to make this as easy as possible. In this paper, we adopt an idea from the Protégé plug-in, OWLAx, which provides a simple, clickable interface to automatically input axioms of a limited number of types by following simple axiom patterns. In particular, each of these axiom patterns contains at most three classes or roles. We hypothesize that most of the axioms in existing ontologies could be expressed semantically in terms of simple patterns like these, which would mean that more complex patterns can be used very sparingly. Our findings, based on an analysis of 518 ontologies from six public ontology repositories, confirm this hypothesis: Over 90% of class axioms in the average ontology are indeed expressible with our simple patterns. We provide a detailed analysis of our findings.
Original languageEnglish
Title of host publicationThe Semantic Web - 18th International Conference, ESWC 2021, Proceedings
EditorsRuben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, Mehwish Alam
PublisherSpringer Science and Business Media Deutschland GmbH
Pages230-245
Number of pages16
ISBN (Print)9783030773847
DOIs
StatePublished - 2021
Externally publishedYes
Event18th European Semantic Web Conference, ESWC 2021 - Virtual, Online
Duration: Jun 6 2021Jun 10 2021

Publication series

NameLecture Notes in Computer Science
Volume12731 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th European Semantic Web Conference, ESWC 2021
CityVirtual, Online
Period6/6/216/10/21

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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