A Double Classification of Common Pitfalls in Ontologies

Poveda Villalón, María ORCID: https://orcid.org/0000-0003-3587-0367, Suárez-Figueroa, Mari Carmen ORCID: https://orcid.org/0000-0003-3807-5019 and Gómez-Pérez, A. ORCID: https://orcid.org/0000-0002-3037-0331 (2010). A Double Classification of Common Pitfalls in Ontologies. En: "Workshop on Ontology Quality (OntoQual 2010), Co-located with EKAW 2010", October 15, 2010, Lisbon, Portugal. ISBN ISSN 1613-0073.

Descripción

Título: A Double Classification of Common Pitfalls in Ontologies
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Workshop on Ontology Quality (OntoQual 2010), Co-located with EKAW 2010
Fechas del Evento: October 15, 2010
Lugar del Evento: Lisbon, Portugal
Título del Libro: Proceedings of Workshop on Ontology Quality (OntoQual 2010), Co-located with EKAW 2010
Fecha: Octubre 2010
ISBN: ISSN 1613-0073
Materias:
ODS:
Palabras Clave Informales: oeg
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: Ontology Engineering Group – OEG
Licencias Creative Commons: Ninguna

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Resumen

The application of methodologies for building ontologies has improved the ontology quality. However, such a quality is not totally guaranteed because of the difficulties involved in ontology modelling. These difficulties are related to the inclusion of anomalies or worst practices in the modelling. In this context, our aim in this paper is twofold: (1) to provide a catalogue of common worst practices, which we call pitfalls, and (2) to present a double classification of such pitfalls. These two products will serve in the ontology development in two ways: (a) to avoid the appearance of pitfalls in the ontology modelling, and (b) to evaluate and correct ontologies to improve their quality.

Más información

ID de Registro: 5413
Identificador DC: https://oa.upm.es/5413/
Identificador OAI: oai:oa.upm.es:5413
Depositado por: Dr Oscar Corcho
Depositado el: 14 Dic 2010 11:20
Ultima Modificación: 22 May 2024 06:59