Validating Ontologies with OOPS

Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in differe...

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Published inKnowledge Engineering and Knowledge Management pp. 267 - 281
Main Authors Poveda-Villalón, María, Suárez-Figueroa, Mari Carmen, Gómez-Pérez, Asunción
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
ontology
ontology evaluation
ontology validation
pitfalls
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Abstract Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontology engineering scenarios such as development and selection. This paper contributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for detecting anomalies in ontologies. This tool will help developers to improve ontology quality by automatically detecting potential errors.
AbstractList Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontology engineering scenarios such as development and selection. This paper contributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for detecting anomalies in ontologies. This tool will help developers to improve ontology quality by automatically detecting potential errors.
Author Poveda-Villalón, María
Suárez-Figueroa, Mari Carmen
Gómez-Pérez, Asunción
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  organization: Ontology Engineering Group. Departamento de Inteligencia Artificial. Facultad de Informática, Universidad Politécnica de Madrid, Spain
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ten Teije, Annette
d’Acquin, Mathieu
Aussenac-Gilles, Nathalie
Hernandez, Nathalie
Handschuh, Siegfried
Nikolov, Andriy
Stuckenschmidt, Heiner
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Snippet Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation...
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StartPage 267
SubjectTerms ontology
ontology evaluation
ontology validation
pitfalls
Title Validating Ontologies with OOPS
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