A MAUT Approach for Reusing Ontologies

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 i...

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Bibliographic Details
Published in2012 IEEE 28th International Conference on Data Engineering Workshops pp. 34 - 40
Main Authors Jimenez, A., Suarez-Figueroa, M. C., Mateos, A., Fernandez-Lopez, M., Gomez-Perez, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2012
Subjects
Additives
Decision making
Guidelines
Multimedia communication
Ontologies
Reliability
Sensitivity analysis
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Summary: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.
ISBN:1467316407
9781467316408
DOI:10.1109/ICDEW.2012.33