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Memorias de investigación
Communications at congresses:
A MAUT Approach for Reusing Ontologies
Year:2012
Research Areas
  • Engineering
Information
Abstract
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.
International
Si
Congress
Workshop on Data-Driven Decision Guidance and Support Systems
960
Place
Washington, USA.
Reviewers
Si
ISBN/ISSN
978-1-4673-1640-8
Start Date
01/04/2012
End Date
05/04/2012
From page
34
To page
40
Proceeding Workshop on Data-Driven Decision Guidance and Support Systems
Participants
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: M.C. Suárez
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: M. Fernández
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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