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Conference papers

Antipattern detection from web ontologies: An experiment using SPARQL queries

Abstract : Ontology antipatterns are structures that reflect ontology modelling problems because they lead to inconsistencies, bad reasoning performance or bad formalisation of domain knowledge. We propose four methods for the detection of antipatterns using SPARQL queries. Based on our experience in ontology design, we focus our study on four antipatterns described in the litterature.These antipatterns widely appear in ontologies developed by those who are not experts in ontology engineering. We conduct some experiments to detect them in a large OWL ontology corpus obtained from the Watson ontology search portal. Our results show that none of the detection methods works well on the four antipatterns, and that hence each antipattern needs a specialised detection method.
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Conference papers
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Contributor : Migration Irstea Publications <>
Submitted on : Friday, May 15, 2020 - 9:49:49 PM
Last modification on : Thursday, October 22, 2020 - 11:30:08 AM


  • HAL Id : hal-02596926, version 1
  • IRSTEA : PUB00035171



Catherine Roussey, O. Corcho, O. Svab-Zamazal, François Scharffe, S. Bernard. Antipattern detection from web ontologies: An experiment using SPARQL queries. 12e conférence internationale francophone sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2012, Bordeaux, France. pp.321-326. ⟨hal-02596926⟩



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