分群關係知識呈現系統

隨著科技的進步與網際網路的普及化，人們面臨一個新世界的到來，那就是：一個沒有時間空間隔閡的資訊世界。在這個資訊世界中，藉由網際網路的便利性，使用者可以順速且方便的獲取想得到的資訊。但另一方面，也因資訊過度的累積膨脹，造成了資訊負載的情況，造成使用者在面對過多資訊時，無法有效的掌握想得到的資訊造成勞力時間上的負擔。因此，如何有效的掌握資訊的重點是一個值得思考解決的問題。本研究主要目的為：提供使用者一個知識呈現系統，並藉由知識領域中所包含的特徵，以及知識領域中特徵與特徵間的關係，來加以釐清知識領域與知識領域的關係，並且探討哪些特徵是連接知識領域與知識領域的溝通橋樑，哪些特徵是該知識領域獨特的特徵。在本篇論文中，使用了三種不同知識領域分別為Inflammatory Bowel Disease、Irritable Bowel Syndrome、Brain Tumor用來表達知識領域關係的遠近，並以chi-square test量測知識與知識的分離與否。

關鍵字

知識呈現；群集分析；文字探勘

並列摘要

With the development of technology and popularity of internet, modern people are in approaching of brand-new world：A world provides information without time and distance gap. Under the circumstances, users can easily grab desirable information through Internet. But on the contrary, It is likely to bring out a problem of over-downloading and make more burden in time and human resource when dealing with too much invaluable information. Therefore, it is a worthy issue to consider how to efficiently obtain valuable information. The main purpose of this study is：Providing a knowledge representation system and distinguishing the relationships from knowledge by identifying features of knowledge domain and their relationships. Moreover, we discuss what features connect with variety of knowledge and which are unique ones. In this research, We using three different methods of knowledge domain such as Inflammatory Bowel Disease, Irritable Bowel Syndrome and Brain Tumor to express the distance of knowledge relationship and access whether knowledge split by chi-square test.

並列關鍵字

knowledge representation ； cluster analysis ； text mining

參考文獻

【1】 Data Mining A Tutorial-based Primer Richard J. Roiger, Michael W. Geatz, 2003

【2】 Martin, J.E., Handbook on Knowledge Management,Springer,2002

【3】 McAleese, R., “A theoretical view on concept mapping”, Association for Learning Technology Journal, Vol. 2, No. 1, pp. 38–48, 1994

【4】 Schultze L. & Leidner, D.E., “Studying Knowledge Management in Information System Research: Discourses and Theoretical Assumptions”, MIS Quarterly, Vol.26, No. 3, 2002

【5】 Hsiang-Chun Tsai, Web-base Literature Clustering Search,2005

國際替代計量

分群關係知識呈現系統

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