由於資訊科技的快速發展，搜尋特定領域的相關知識已經非常方便，但由於所處理的資料過於龐大與複雜，搜尋的結果不易整理，而研究人員在理解分析所獲得的資訊時也相對的需要花費更多的時間。若對資訊做更精確的分類與描述，將有助於整體領域知識之掌握及爾後的搜尋與整理。
本研究探討學者如何在文獻研讀的知識累積過程中，以更理想的方式表達完整的領域概念及論文重要內容之間的關係，所涵蓋的領域知識及所衍生對論文重要性及關連性的指標，不但讓研究者更確切的掌握領域知識架構，更可能提供給像Citeseer 此類透過關鍵字彙搜尋相關論文的搜尋引擎，以便更精確的找到所需要的資訊。對於這樣的問題，我們提出透過建立本體架構(Ontology)為基礎，將經過深入理解後的文獻知識內涵以結構化的方式彙整，讓使用者將整理過的資訊透過權重的計算與圖形化的方式呈現文章之間的關係，並建構出完整的領域架構。

As a result of the fast development of Information technology, searching the related knowledge in specific domain is much easier than before. However, the amount of data is enormous and the relations between searched objects are complicated. To master the overall concepts of the particular domain is difficult. If we can classify and describe the related information more precisely, it would help the researcher to grasp the whole picture of the domain and enhance the quality of his work.
    In this research we discuss how to improve the effectiveness of the researchers such that they can easily build-up the complete domain concept and the relations between the research articles in a structured way. The structure of the research domain is first required to be following a specific ontology. This allow users to present the relations between papers by calculating the weightings and visualizing the arranged data and show the complete domain framework. This approach of domain knowledge analysis can also provide the Searching Engine like Citeseer more precisely information about document relationships.

目錄	
第一章 緒論	1
第一節 研究背景與動機	1
第二節 研究目的	3
第三節 論文架構	3
第二章 文獻探討	4
第一節 知識管理	4
第二節 本體論(Ontology)	5
第三節 TFIDF	7
第四節 參考文獻索引	10
第三章 系統架構	13
第四章 權重設計與計算方法	16
第五章 運算結果	31
第六章 討論與未來研究方向	37
第一節 討論	37
第二節 未來研究方向	38
參考文獻	40
 
 圖目錄
圖1  Benjamins[2]中之方法	6
圖2  Citeseer架構圖	11
圖 3 系統架構圖	14
圖4  論文知識內容Ontology之架構	16
圖6  知識分布的sub-graph類似圖	27
圖7  公式關係圖	28
圖8  使用Protégé建立本體架構並輸入相關論文資料	32
圖9  文章權重計算結果	34
圖10  作者權重(WA)計算結果	35
圖11  知識權重(WF)之計算結果	36

 
表目錄
表1  Term Frequency物件[12]	8
表2  TFIDF常用公式	9
表3  文章代號對應表格	33
表4  作者代號與名稱對應表	34
表5  知識項目代號與名稱對應表	35

1.Aihara, K., “Enhancing the Creativity by Reorganizing the Mental Space Hidden in the Research Notes Stack,” Proceedings of the First International Workshop on Strategic Knowledge and Concept Formation, 1997, pp. 181-192.
2.Benjamins, V., D. Fensel, and A. Perez, “Knowledge Management through Ontologies,” In Proceedings of Practical Aspects of Knowledge Management, 5, 1998, pp. 1-12.
3.Bollacker, K., S. Lawrence, C. L. Giles, “ CiteSeer: An autonomous web agent for automatic retrieval and identification of interesting publications,” In Proceedings of Agents '98, 1998.
4.Bradshaw, S., K. Hammond, “Guiding people to information: Providing an interface to a digital library using reference as a basis for indexing,” In Proceedings of the 2000 International Conference on Intelligent User Interfaces, New Orleans, LA, 2000.
5.Bradshaw, S., K. Hammond, “Automatically Indexing Documents: Content vs. Reference,” In proceedings of Intelligent User Interfaces, 2002, pp. 180-181.
6.Chandrasekaran, B., R. Josephson, R. Benjamins, “What Are Ontologies, and Why Do We Need Them?” IEEE Intelligent Systems, Jan/Feb 1999, pp. 20-26. 
7.Gruber, R., “A Translation Approach to Portable Ontology Specification,” Knowledge Acquisition, 5, 1993, pp. 199-220.
8.Hori, K., “A system for aiding creative concept formation,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 24, 6, Jun. 1994, pp. 882-894.
9.Lawrence, S., C. L. Giles, K. Bollocker, “Digital Libraries and Autonomous Citation Indexing,” IEEE Computer, Vol. 32, 6, 1999, pp. 67-71.
10.Reimer, U. et al, “Ontology-based Knowledge Management at Work: The Swiss Life Case Studies,” In J. Davies (Ed.), Towards the Semantic Web: Ontology-driven Knowledge Management, Wiley, Nov. 2002.
11.Robertson, J. ,“How to Evaluate a Content Management System,” KM Column, Step Two Designs Pty Ltd., Jan. 2002.
12.Salton, G., C. Buckley, “Term-weighting Approaches in Automatic Text Retrieval,” Information Processing and management, 24, 5, 1988, pp. 513-523. 
13.Salton, G., “Automatic Indexing Using Bibliographic Citations,” Journal of Documentation, 27, 1971, pp. 98-110.
14.Sure, Y., R. Studer, “A Methodology for Ontology-based Knowledge Management,” In J. Davies (Ed.), Towards the Semantic Web: Ontology-driven Knowledge Management, Wiley, Nov. 2002.
15.Yianilos, P., “ The LikeIT Intelligent String Comparsion Facility,” NEC Institute Tech Paper, 97-093, 1997.
16.http://protege.stanford.edu/
17.林翠娟，“數位時代的主題與變奏--知識管理,” 中央研究院計算中心通訊,16:18, pp.143-146, Aug.,2000  http://www.ascc.net/nl/89/1618/02.txt