人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
再利用可能知識ベースの構築 : 変電所事故復旧問題を例にして
高岡 良行広部 健治溝口 理一郎
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解説誌・一般情報誌 フリー

1995 年 10 巻 5 号 p. 786-797

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A methodology to identify task/domain ontologies is proposed in this paper. According to the methodology, task/domain ontologies that are indispensable for building reusable knowledge base are identified. The methodology has two kinds of ontologies in the different abstraction levels. The first one is based on a vocabulary applicable in common to the entire target field. With this vocabulary, knowledge engineers can discuss with domain experts, and build a expertise model in collaboration with domain experts. The second one is based on a generic vocabulary. By defining the common vocabulary in terms of the generic vocabulary, reusable task model that is called a knowledge model can be built. We evaluate the effectiveness of this methodology by applying it into substation restoration problems.

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© 1995 人工知能学会
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