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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/3924

Title: Topic Map and Its Application to Document Retrieval
Authors: Haiyan, Tian
Jiangning, Wu
Guangfei, Yang
Keywords: Topic Map
document retrieval
TMDRM
Issue Date: Nov-2005
Publisher: JAIST Press
Abstract: 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.
Description: 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
Language: ENG
URI: http://hdl.handle.net/10119/3924
ISBN: 4-903092-02-X
Appears in Collections:IFSR 2005

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