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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/123887


    Title: 以主題地圖建構索引典之語意網路模型
    Constructing a Semantic Network Model of Thesaurus: Topic Maps Approach
    Authors: 林信成
    Lin, Shinn-Cheng
    歐陽崇榮
    Ouyang, ames C.
    歐陽慧
    Hui, Ou-Yang
    Contributors: 圖資與檔案學刊
    Keywords: 主題地圖;索引典;語意網路;知識組織;人工智慧;知識表達
    Topic maps;Thesaurus;Semantic networks;Knowledge organization;Artificial intelligence;Knowledge representation
    Date: 2004-02
    Issue Date: 2019-06-21 15:06:12 (UTC+8)
    Abstract: 主題地圖是一種分散式知識表示法，可以有效的整合網路上的知識庫，從而建構出一個分散式知識管理系統。本文首先從主題地圖之發展切入，介紹其相關標準及其內涵；接著探討知識組織、書後索引、術語彙編與索引典等相關概念；然後實際以教育論文線上資料庫的中文教育類詞庫中，選擇十九個主題詞極其替代詞作為實驗用素材，歸納出其詞間關係並建構語意網路模型，再將此語意網路依據國際標準組織的主題地圖規範進行實作，並在伺服器端建置主題地圖處理器，成功的完成一個實驗性質的線上索引典；最後，我們從主題地圖之相關應用議題與未來發展探討其潛力與限制。
    Topic map is a distributed method of knowledge representation; it can integrate the knowledge on the network and build a distributed knowledge management system. This paper begins with a survey of the standards and content of topic maps and follows by concept definitions of knowledge organization, index, glossary and thesaurus. Then, an experiment is run to construct a semantic network model by selecting 19 descriptors and their non-descriptors from the thesaurus. An experimental on-line thesaurus is completed with topic map processor successfully installed on the server. The paper ends with a discussion on the potentiality and limitation of topic maps.
    Relation: 圖書與資訊學刊, 48, 35-56
    Data Type: article
    DOI 連結: https://doi.org/ 10.6575/JoLIS.2004.48.03
    DOI: 10.6575/JoLIS.2004.48.03
    Appears in Collections:[圖資與檔案學刊] 期刊論文

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