IDENTIFICATION OF ONTOLOGIES TO REUSE KNOWLEDGE FOR SUBSTATION FAULT RECOVERY SUPPORT SYSTEM

Citation
Y. Takaoka et R. Mizoguchi, IDENTIFICATION OF ONTOLOGIES TO REUSE KNOWLEDGE FOR SUBSTATION FAULT RECOVERY SUPPORT SYSTEM, Decision support systems, 18(1), 1996, pp. 3-21
Citations number
24
Categorie Soggetti
System Science","Computer Science Artificial Intelligence","Operatione Research & Management Science","Computer Science Information Systems
Journal title
ISSN journal
01679236
Volume
18
Issue
1
Year of publication
1996
Pages
3 - 21
Database
ISI
SICI code
0167-9236(1996)18:1<3:IOOTRK>2.0.ZU;2-3
Abstract
A methodology to identify task/domain ontologies is proposed in this p aper. According to the methodology, task/domain ontologies that are in dispensable for building a reusable knowledge base are identified. The expertise model of the methodology has two kinds of ontologies at dif ferent abstraction levels. The first one is based on a vocabulary appl icable in common to the entire target field. This vocabulary is used a s a communication basis between domain experts and knowledge engineers , The first layer of an expertise model is described in this vocabular y and is built in collaboration with them. The second one is based on a generic vocabulary. By defining the common vocabulary in terms of th e generic vocabulary, a reusable task model that is an expertise model at the second layer can be built. We evaluate the effectiveness of th is methodology by applying it into substation restoration problems.