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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3925

タイトル: An Ontology-based Knowledge Matching Algorithm for the Strategic Study
著者: Zhihao, Shang
Lili, Rong
キーワード: ontology
strategic study
knowledge tree
question tree
knowledge matching algorithm
発行日: Nov-2005
出版者: JAIST Press
抄録: This paper is concerned with the question of how to provide knowledge support for the strategic study. An ontology-based matching algorithm is presented. The algorithm consists of four steps. First, we introduce how to build the knowledge tree. The knowledge tree is the explicit specification of the documents collected. Every document can be found in the nodes of the knowledge tree. The knowledge tree starts with extracting the framework of the books with respect to a subject and will be completed by hanging the documents on the nodes of the framework. Second, we introduce how to build the question tree. The question tree gives the explicit specification of one question by analyzing it. Third, the relations of the nodes between the knowledge tree and the question tree are discussed. Finally, different matching algorithms are proposed according to the relevant relations. The documents hung on the matched nodes of the knowledge tree can support the researchers on studying the strategic question.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2135, Kobe, Japan
Symposium 6, Session 5 : Vision of Knowledge Civilization Future Computataions
言語: ENG
URI: http://hdl.handle.net/10119/3925
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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