Memorias de investigación
Ponencias en congresos:
Pattern-based OWL Ontology Debugging Guidelines
Año:2009

Áreas de investigación
  • Lenguaje de programación

Datos
Descripción
Debugging inconsistent OWL ontologies is a tedious and time-consuming task where a combination of ontology engineers and domain experts is often required to understand whether the changes to be performed are actually dealing with formalisation errors or changing the intended meaning of the original knowledge model. Debugging services from existing ontology engineering tools and debugging strategies avail- able in the literature aid in this task. However, in complex cases they are still far from providing adequate support to ontology developers, due to their lack of eciency or precision when explaining the main causes for unsatisable classes, together with little support for proposing solutions for them. We claim that it is possible to provide additional support to ontology developers, based on the identication of common antipatterns and a debugging strategy, which can be combined with the use of existing tools in order to make this task more eective.
Internacional
Si
Nombre congreso
Workshop on Ontology Patterns (WOP 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009)
Tipo de participación
960
Lugar del congreso
Washington D.C., USA
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
25/10/2009
Fecha fin congreso
25/10/2009
Desde la página
68
Hasta la página
82
Título de las actas
CEUR Workshop proceedings

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: BABEL: Desarrollo de Software Fiable y de Alta Calidad a partir de Tecnología Declarativa
  • Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Inteligencia Artificial
  • Departamento: Ingeniería Topográfica y Cartografía