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Memorias de investigación
Ponencias en congresos:
An editorial workflow approach for collaborative ontology development
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
The widespread use of ontologies in the last years has raised new challenges for their development and maintenance. Ontology development has transformed from a process normally performed by one ontology engineer into a process performed collaboratively by a team of ontology engineers, who may be geographically distributed and play different roles. For example, editors may propose changes, while authoritative users approve or reject them following a well defined process. This process, however, has only been partially addressed by existing ontology development methods, methodologies, and tool support. Furthermore, in a distributed environment where ontology editors may be working on local copies of the same ontology, strategies should be in place to ensure that changes in one copy are reflected in all of them. In this paper, we propose a workflow-based model for the collaborative development of ontologies in distributed environments and describe the components required to support them.We illustrate our model with a test case in the fishery domain from the United Nations Food and Agriculture Organisation (FAO).
Internacional
Si
Nombre congreso
3rd Asian Semantic Web Conference (ASWC2008)
Tipo de participación
960
Lugar del congreso
Bangkok,Tailandia
Revisores
Si
ISBN o ISSN
978-3-540-89703-3
DOI
Fecha inicio congreso
02/02/2009
Fecha fin congreso
05/02/2009
Desde la página
227
Hasta la página
241
Título de las actas
ASWC 2008, Springer-Verlag LNCS 5367
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Qiou Ji
  • Autor: Oscar Corcho Garcia (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Participante: Peter Haase
  • Autor: Raúl Antonio Palma De León (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
  • Departamento: Inteligencia Artificial
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