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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/10119/3924

タイトル: Topic Map and Its Application to Document Retrieval
著者: Haiyan, Tian
Jiangning, Wu
Guangfei, Yang
キーワード: Topic Map
document retrieval
TMDRM
発行日: Nov-2005
出版者: JAIST Press
抄録: As computer and network technologies develop, information on line becomes flooded. Under this condition searching requested documents is really a difficult task. People are always seeking for an efficient searching tool and Topic Map is one of them. Topic Map is a new tool proposed by the International Organization for Standardization (ISO) to solve problems about knowledge representation and knowledge management. It has been widely used in many knowledge fields and in this paper we mainly make research on its application to information (document) retrieval. We firstly address some issues related to Topic Map: topic, association, occurrence as well as identity, facet and scope. By means of the current technologies for Topic Map developing, such as TMCL, TMQL, XML, SGML and so on, we propose a multi-layer Topic Map-based document retrieval model (TMDRM). TMRDM is based on Topic Map’s richly cross-linked structure and capabilities of topics used to group together objects that relate to a single abstract concept. This model helps people narrow the search scope step by step in order to facilitate them to proper documents.
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, 2134, Kobe, Japan
Symposium 6, Session 5 : Vision of Knowledge Civilization Future Computataions
言語: ENG
URI: http://hdl.handle.net/10119/3924
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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