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Poster

SPARQL-DL queries for Antipattern Detection

Abstract : Ontology antipatterns are structures that reflect ontology modelling problems, they lead to inconsistencies, bad reasoning performance or bad formalisation of domain knowledge. Antipatterns normally appear in ontologies developed by those who are not experts in ontology engineering. Based on our experience in ontology design, we have created a catalogue of such antipatterns in the past, and in this paper we describe how we can use SPARQL-DL to detect them. We conduct some experiments to detect them in a large OWL ontology corpus obtained from the Watson ontology search portal. Our results show that each antipattern needs a specialised detection method.
Keywords : OWL ANTIPATTERN
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Poster
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https://hal.inrae.fr/hal-02597534
Déposant : Migration Irstea Publications <>
Soumis le : vendredi 15 mai 2020 - 22:42:47
Dernière modification le : jeudi 22 octobre 2020 - 11:30:08

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  • HAL Id : hal-02597534, version 1
  • IRSTEA : PUB00036431

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Catherine Roussey, O. Corcho, O. Zamazal, François Scharffe, S. Bernard. SPARQL-DL queries for Antipattern Detection. WOP2012, 3rd Workshop on Ontology Patterns, Nov 2012, Boston, United States. CEUR Workshop Proceedings, 929, pp.12, 2012. ⟨hal-02597534⟩

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