Effects of Ontology Pitfalls on Ontology-based Information Retrieval Systems

International audienceNowadays, 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

Qualität in der Inhaltserschließung

This edited volume deals with issues relating to the quality of subject cataloging in the digital age, where heterogenous articles from different processes meet, and attempts to define important quality standards. Topics range from metadata and the cataloging policies of the German National Library, the GND, and the head offices of the German library association, to the presentation of a range of different projects, such as QURATOR and SoNAR