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博碩士論文 etd-0718102-191047 詳細資訊
Title page for etd-0718102-191047
論文名稱
Title
利用網頁建構知識分布圖
Constructing Knowledge Map from the Web
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
79
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2002-07-11
繳交日期
Date of Submission
2002-07-18
關鍵字
Keywords
知識分佈圖、知識管理、資訊擷取、關聯分析
Knowledge map, Knowledge management, Association analysis, Information retrieval
統計
Statistics
本論文已被瀏覽 5788 次,被下載 3220
The thesis/dissertation has been browsed 5788 times, has been downloaded 3220 times.
中文摘要
摘要
知識分布圖,它就像是知識的黃頁簿,告訴人們知識的所在位置,以及如何取得的資訊;當人們需要某種專長知識時,可以透過知識分布圖的指引,找到所需要的知識﹐增加知識取得的效率。現今由於網際網路上存在著相當豐富而繁雜的資訊,透過網路讓學習者探索知識已經是目前網路教育的趨勢,但在試探索的過程中,必須面臨目前網路環境中最大的兩個盲點:「認知迷失」與「資訊超載」。
本研究的主要精神就是利用際網路上搜尋引擎的功能,針對網頁文件進行關鍵字詞的擷取,再分析關鍵字詞間出現在網頁上的關聯,加以發展出一套知識構圖的流程,以建構網際網路上完整的知識分布圖,減少傳統建構方法所需的成本及時間,也讓學習者透過網際網路在探索知識時能更有效率。
本研究之主要貢獻如下:
自動收集知識關鍵字詞庫:透過文件的搜尋與關鍵字詞的分析,建立知識關鍵字詞資料庫並記錄發展之時間統計表。
建構知識關聯圖:知識分布圖中呈現知識關聯資訊,瞭解哪些字詞間彼此相關並且呈現群集資訊。
建構知識階層圖:知識分布圖中呈現知識階層資訊,以有向邊的來呈現關鍵字詞間彼此的關聯方向,瞭解一群關鍵詞彙間相對的重要性,藉此呈現知識間階層的資訊。
建構知識時間趨勢圖:利用關聯出現的年份資料,透過分析在每個不同的年代的關聯和階層資訊,藉此呈現出知識間隨著時間的演進而產生群集和階層的變化。

Abstract
Abstract
Knowledge map, like the “Yellow Pages” of knowledge, indicates where knowledge is and how to get it, but doesn’t contain knowledge. The principal purpose of a knowledge map is to show domain expert when someone need expertise. The principal purpose of a knowledge map is to enhance the efficiency to find the exact expertise someone need. In this digital age, it is a trend for e-learning learners to search knowledge on the Internet. However, when learners try to explore knowledge, they will confront the two important problems:「cognitive disorientation」 and 「information overloading」. This research bases on the function of search engine on the Internet, extract the keywords on the web document, and then analyze the relationship between the keywords appearing on web page. So, we can develop the process of knowledge mapping to construct integrated Knowledge Map (KM). It can reduce the cost and time that is essential for the traditional method. With guidance of the KM, learners can find specific knowledge or discover knowledge relationships more effectively when exploring on the Internet.
The contributions of this survey are as followings:
Collecting keywords of knowledge automatically,
Constructing knowledge relation graph,
Constructing knowledge hierarchy graph, and
Constructing knowledge time trend graph.

目次 Table of Contents
目錄
目錄 I
圖目錄 III
表目錄 V
1. 緒論 1
1.1. 研究背景與動機 1
1.2. 研究目的 2
1.3. 研究方法 4
1.4. 論文架構 4
2. 文獻探討 6
2.1. 名詞定義及說明 6
2.1.1. 迷失與資訊超載 6
2.1.2. 知識的定義 7
2.1.3. 知識的分類 8
2.1.4. 知識的呈現方式 12
2.1.5. 知識分布圖 15
2.1.6. 知識管理 16
2.2. 資訊擷取相關技術 17
2.2.1. PAT-Tree-Based的中文資訊擷取技術 19
3. 知識分布圖之系統分析與設計 24
3.1. 從文件擷取關鍵詞彙 26
3.2. 從網頁擷取關聯性 30
3.3. 分析關鍵字詞間之關聯 34
4. 知識分布圖之系統實作 38
4.1. 關鍵字詞擷取子系統 39
4.2. 關聯擷取子系統 41
4.3. 關聯分析與呈現子系統 43
5. 知識分布圖之應用與實例分析 47
5.1. 知識分布圖推薦相關詞彙 48
5.2. 知識分布圖提供知識關聯資訊 50
5.2.1. 群組相關詞彙之關聯圖 50
5.2.2. 關聯圖之正確性評估 52
5.3. 知識分布圖提供知識階層資訊 53
5.3.1. 單一詞彙與其他之階層圖 53
5.3.2. 群組相關詞彙之階層圖 56
5.3.3. 階層圖之正確性評估 60
6. 結論 61
6.1. 研究成果 61
6.2. 建議與未來研究方向 62
參考文獻 65
一、 中文參考文獻 65
二、 英文參考文獻 65
參考文獻 References
一、 中文參考文獻
[1] 林建昇(民90),”以知識構圖呈現知識之實證研究”,中正大學,資管所碩士論文。
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[3] 陳至錄(民90),”以社會網路分析法建置虛擬社群關係網路分析機制”,中正大學,資管所碩士論文。
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[7] 戴文坡、普賽克(民89),知識管理(顏漏有 譯),台北,中國生產力,頁3-5。

二、 英文參考文獻
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[11] Embley, D.W. and Campbell, D.M. and Jiang, Y.S. and Liddle, S.W.( 1999), “Conceptual-Model-Based Data Extraction from Multiple-Record Web Page,” Data and Knowledge Engineering.
[12] Embley, D.W and Jiang, Y. and Ng, Y.K.( 1999), “Record-Boundary Discovery in Web Documents,” Proceeding of the 1999 ACM SIGMOD International Conference on Management of Data,pp.467-478.
[13] Gundry , John(1998), “Knowledge Management,” http://www.knowab.co.uk/km.html .
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[15] Gordon, J.L.( 2000), ”Creating Knowledge Maps by Exploiting Dependent Relation-ships”, Knowledge-Based System, vol.13, no.2-3, April 2000,pp.71-19
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[18] Harem,T., Krogh,G. V., &Roos, J.,(1996),”Knowledge-based Strategic Change”, Managing Knowledge-Perspectives on Cooperation and Competition, SAGE Publication.
[19] Harris, D.B.(1996),“Creating a Knowledge Centric Information Technology Environment”,September 15, http://www.htcs.com/ckc.html
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[22] Morrison, D.(1968), “PATRICIA: Practical Algorithm to Retrieve Information Coded in Alphanumeric,” JACM, pp.514-534.
[23] Ng, H.T. and Goh, W.B. and Low, K.L.(1997), “Feature Selection, Perception Learning, and a Usability Case Study for Text Categorization,” Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.67-73.
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[25] Ong, T.H. and Chen, H.(1999), “Updateable PAT-Tree Approach to Chinese Key Phrase Extraction using Mutual Information: A Linguistic Foundation for Knowledge Management,” the Second Asian Digital Libraries Conference, http://ross.lis.ntu.edu.tw/adl99/5_Thian-Huat%20Ong.htm.
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[28] Stewart , T.A (1997),“ Intellectual Capital : The New Wealth of Organizations ” , Doubleday , New York
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[30] Zack, M.(1999),”Developong a Knowledge Strategy”, Californai management Review, Spring 1999,Vol. 41,Iss. 3,pp.125-145
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