A Maut aprroach for reusing domain ontologies on the basis of the NeOn Methodlogy

Jiménez Martín, Antonio and Suárez-Figueroa, Mari Carmen and Mateos Caballero, Alfonso and Gómez-Pérez, A. and Fernández-López, M. (2013). A Maut aprroach for reusing domain ontologies on the basis of the NeOn Methodlogy. "International Journal of Information Technology & Decision Making (IJITDM)", v. 12 (n. 5); pp. 945-968. ISSN 0219-6220. https://doi.org/10.1142/S021962201340004X.

Description

Title: A Maut aprroach for reusing domain ontologies on the basis of the NeOn Methodlogy
Author/s:
  • Jiménez Martín, Antonio
  • Suárez-Figueroa, Mari Carmen
  • Mateos Caballero, Alfonso
  • Gómez-Pérez, A.
  • Fernández-López, M.
Item Type: Article
Título de Revista/Publicación: International Journal of Information Technology & Decision Making (IJITDM)
Date: September 2013
ISSN: 0219-6220
Volume: 12
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 26165
DC Identifier: http://oa.upm.es/26165/
OAI Identifier: oai:oa.upm.es:26165
DOI: 10.1142/S021962201340004X
Official URL: http://www.worldscientific.com/doi/abs/10.1142/S021962201340004X?af=R
Deposited by: Memoria Investigacion
Deposited on: 06 Jun 2014 11:34
Last Modified: 22 Sep 2014 11:40
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