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題名 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
作者 林信成
Lin, Shinn-Cheng
歐陽崇榮
Ouyang, ames C.
歐陽慧
Hui, Ou-Yang
貢獻者 圖資與檔案學刊
關鍵詞 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
日期 2004-02
上傳時間 21-Jun-2019 15:06:12 (UTC+8)
摘要 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.
關聯 圖書與資訊學刊, 48, 35-56
資料類型 article
DOI https://doi.org/ 10.6575/JoLIS.2004.48.03
dc.contributor 圖資與檔案學刊
dc.creator (作者) 林信成
dc.creator (作者) Lin, Shinn-Cheng
dc.creator (作者) 歐陽崇榮
dc.creator (作者) Ouyang, ames C.
dc.creator (作者) 歐陽慧
dc.creator (作者) Hui, Ou-Yang
dc.date (日期) 2004-02
dc.date.accessioned 21-Jun-2019 15:06:12 (UTC+8)-
dc.date.available 21-Jun-2019 15:06:12 (UTC+8)-
dc.date.issued (上傳時間) 21-Jun-2019 15:06:12 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/123887-
dc.description.abstract (摘要) 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。
dc.description.abstract (摘要) 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.
dc.format.extent 25990982 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 圖書與資訊學刊, 48, 35-56
dc.subject (關鍵詞) 主題地圖;索引典;語意網路;知識組織;人工智慧;知識表達
dc.subject (關鍵詞) Topic maps ; Thesaurus ; Semantic networks ; Knowledge organization ; Artificial intelligence ; Knowledge representation
dc.title (題名) 以主題地圖建構索引典之語意網路模型
dc.title (題名) Constructing a Semantic Network Model of Thesaurus: Topic Maps Approach
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6575/JoLIS.2004.48.03
dc.doi.uri (DOI) https://doi.org/ 10.6575/JoLIS.2004.48.03