Identification of ontologies to reuse knowledge for substation fault recovery support system

A methodology to identify task/domain ontologies is proposed in this paper. According to the methodology, task/domain ontologies that are indispensable for building a reusable knowledge base are identified. The expertise model of the methodology has two kinds of ontologies at different abstraction l...

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Bibliographic Details
Published inDecision Support Systems Vol. 18; no. 1; pp. 3 - 21
Main Authors Takaoka, Yoshiyuki, Mizoguchi, Riichiro
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.09.1996
Elsevier Sequoia S.A
Subjects
Effectiveness
Electrical engineering
Electricity distribution
Expert systems
Knowledge reuse
Methods
Ontology
Operations research
Restoration
Studies
Knowledge reuse
Ontology
Restoration
Expert systems
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Summary:A methodology to identify task/domain ontologies is proposed in this paper. According to the methodology, task/domain ontologies that are indispensable for building a reusable knowledge base are identified. The expertise model of the methodology has two kinds of ontologies at different abstraction levels. The first one is based on a vocabulary applicable in common to the entire target field. This vocabulary is used as a communication basis between domain experts and knowledge engineers. The first layer of an expertise model is described in this vocabulary and is built in collaboration with them. The second one is based on a generic vocabulary. By defining the common vocabulary in terms of the generic vocabulary, a reusable task model that is an expertise model at the second layer can be built. We evaluate the effectiveness of this methodology by applying it into substation restoration problems.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0167-9236
1873-5797
DOI:10.1016/0167-9236(96)00014-0