A MAUT approach for reusing ontologies

Jiménez Martín, Antonio and Suárez-Figueroa, Mari Carmen and Mateos Caballero, Alfonso and Fernández-López, M. and Gómez-Pérez, A. (2012). A MAUT approach for reusing ontologies. In: "28th IEEE International Conference on Data Engineering Workshops (ICDE 2012)", 01/04/2012 - 05/04/2012, Washington DC, USA. ISBN 978-1-4673-1640-8. pp. 34-40.

Description

Title: A MAUT approach for reusing ontologies
Author/s:
  • Jiménez Martín, Antonio
  • Suárez-Figueroa, Mari Carmen
  • Mateos Caballero, Alfonso
  • Fernández-López, M.
  • Gómez-Pérez, A.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 28th IEEE International Conference on Data Engineering Workshops (ICDE 2012)
Event Dates: 01/04/2012 - 05/04/2012
Event Location: Washington DC, USA
Title of Book: 2012 IEEE 28th International Conference on Data Engineering Workshops (ICDEW),
Date: 2012
ISBN: 978-1-4673-1640-8
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: 19564
DC Identifier: http://oa.upm.es/19564/
OAI Identifier: oai:oa.upm.es:19564
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6313653
Deposited by: Memoria Investigacion
Deposited on: 15 Oct 2013 17:09
Last Modified: 21 Apr 2016 20:18
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