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Memorias de investigación
Artículos en revistas:
A Maut Approach for Reusing Domain Ontologies on the Basis of the NeOn Methodlogy
Año:2013
Áreas de investigación
  • Informática
Datos
Descripción
Knowledge resource reuse has become a popular approach within the ontology engineering field, mainly because it can speed up the ontology development process, saving time and money and promoting the application of good practices. The NeOn Methodology provides guidelines for reuse. These guidelines include the selection of the most appropriate knowledge resources for reuse in ontology development. This is a complex decision-making problem where different conflicting objectives, like the reuse cost, understandability, integration workload and reliability, have to be taken into account simultaneously. GMAA is a PC-based decision support system based on an additive multi-attribute utility model that is intended to allay the operational difficulties involved in the Decision Analysis methodology. The paper illustrates how it can be applied to select multimedia ontologies for reuse to develop a new ontology in the multimedia domain. It also demonstrates that the sensitivity analyses provided by GMAA are useful tools for making a final recommendation.
Internacional
Si
JCR del ISI
No
Título de la revista
International Journal of Information Technology & Decision Making (IJITDM)
ISSN
0219-6220
Factor de impacto JCR
Información de impacto
Volumen
12
DOI
10.1142/S021962201340004X
Número de revista
5
Desde la página
945
Hasta la página
968
Mes
SEPTIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: Mariano Fernández López (CEU San Pablo)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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