Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems

Davide Buscaldi (1) , Mari Carmen Suárez-Figueroa (2)

1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 OEG - Ontology Engineering Group [Madrid]

Nowadays, a growing number of information retrieval systems make use of ontologies to improve the access to textual information, especially in domain-specific scenarios, where the knowledge provided by ontologies represents a key factor. Such kinds of retrieval systems are often referred to as ontology-based or semantic information retrieval systems. The quality of ontologies plays an important role in such systems in the sense that modelling errors in the ontologies may deteriorate the quality of the results obtained by these systems. In this paper we provide a comprehensive analysis of how ontology pitfalls have an influence on these kinds of systems. This study allows us to have a more complete understanding of the role of ontology quality in the information retrieval field. Our survey shows that pitfalls may act as an indicator not only of possible problems in ontology design, but also of OWL features overseen by system developers.

Mots clés: Ontologies; Information Retrieval

Domaines: Traitement du texte et du document

Davide Buscaldi, Mari Carmen Suárez-Figueroa. Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems. KEOD 2013, Sep 2013, Vilamoura, Portugal. pp.51. ⟨hal-01068259⟩