Application of Topic Map on Knowledge Organization
Resource
Journal of Library and Information Studies, 1(1), pp.37-58
Journal
圖書資訊學刊
Journal Volume
1
Journal Issue
1
Pages
37-58
Date Issued
2003-06
Date
2003-06
Author(s)
Chen, Wun-Hwa
Hsu, Sheng-Hsun
Shih, Jen-Ying
Wu, Sou-shan
Abstract
Knowledge management (KM) has received much attention from both academics and practitioners in the past few years. Following the KM trend, many organizations have built their own knowledge repositories or data warehouses. However, information or knowledge is still scattered everywhere without being properly managed. The rapid growth of the Internet accelerates the creation of unstructured and unclassified information and causes the explosion of information overload. The effort of browsing information through general-purpose search engines turns out to be tedious and painstaking. Hence, an effective technology to solve this information retrieval problem is much needed. The purpose of this research is to explore the application of text mining technique in organizing knowledge stored in unstructured natural language text documents. Major components of text mining techniques required for topic map in particular will be presented in detail. Two sets of unstructured documents are utilized to demonstrate the usage of SOM for topic categorization. The first set of documents is a collection of speeches given by Y.C. Wang, Chairman of the Taiwan Plastics Group, and the other is the collection of all laws and regulations related to securities and future markets in Taiwan. We also try to apply text mining to these two sets of documents to generate their respective topic maps, thus revealing the differences between organizing explicit and tacit knowledge as well as the difficulties associated with tacit knowledge.
Subjects
Knowledge management
Knowledge portal
Document categorization
Topic map
Self-organizing map
Publisher
Department of Library and Information Science, National Taiwan University
Type
journal article
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