Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Common Pitfalls in Ontology Development
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The so-called Ontology Design Patterns (ODPs), which have been defined as solutions to ontological design problems, are of great help to developers when modelling ontologies since these patterns provide a development guide and improve the quality of the resulting ontologies. However, it has been demonstrated that, in many cases, developers encounter difficulties when they have to reuse the correct design patterns and include errors in the modelling. Thus, to avoid pitfalls in ontology modelling, this paper proposes classifying errors into two types: (1) errors related to existing ODPs, called anti-patterns, and (2) errors not related to existing ODPs, called pitfalls. This classification is the result of analysing a set of ontologies. This paper is focused on the pitfalls identified during the analysis. In addition the paper presents a classification of the pitfalls found and a set of pitfall examples.
Internacional
Si
Nombre congreso
The 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009
Tipo de participación
960
Lugar del congreso
Sevilla, España
Revisores
Si
ISBN o ISSN
978-3-642-14263-5
DOI
Fecha inicio congreso
09/11/2009
Fecha fin congreso
13/11/2009
Desde la página
91
Hasta la página
100
Título de las actas
Current Topics in Artificial Intelligence 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009, Seville, Spain, November 9-13, 2009. Selected Papers
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Maria Poveda Villalon (UPM)
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
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