Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
A MAUT Approach for Reusing Ontologies
Año:2012
Áreas de investigación
  • Ingenierías
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
DOI
http://doi.ieeecomputersociety.org/10.1109/ICDEW.2
Edición del Libro
Editorial del Libro
ISBN
978-1-4673-1640-8
Serie
Título del Libro
2012 IEEE 28th International Conference on Data Engineering Workshops
Desde página
34
Hasta página
40
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Mari Carmen Suárez
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Mariano Fernández
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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