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Automatic Knowledge Structure Map Construction with Time-line Feature -- Using Knowledge Evolution in MIS Domain as an Example

There is much information on the web, but the overloaded information may cause user¡¦s disorientation. The aim of this research is to address a method for automatically constructing the Knowledge Structure Map with time-line feature, and expect to solve the problems of information overloaded and use¡¦s disorientation by visual interface. In this research, the MIS domain is adopted as apply target and the national Dissertation and Thesis Abstract System as data source. By dealing with the keywords to be the subjects, and performing the Principle Component Analysis and calculating the relation strength for the subjects, the Knowledge Structure Map with time-line feature will finally automatically be implemented.
Besides the introduction to the method for implementing the Knowledge Structure Map, the writer also develops an experiment to show the Knowledge Structure Map is very helpful when users are taking tasks of description and procedure knowledge. And finally, the writer utilizes these maps to analyze the knowledge and its evolution and development for Taiwan¡¦s MIS domain.
The method of this research can automatically construct Knowledge Structure Map with time-line feature. And the Maps will be useful auxiliary tools in learning, research direction decision and knowledge sharing for the novices, researchers, and people respectively. Besides, the enterprises can also use the method of this research to construct their own internal or external Knowledge Structure Map by applying the existing automatic abstracting and picking-up keywords technologies to extract abstracts and keywords of relative information in their organization. Therefore, the writer will conclude that the method in this research can be easily applied in the field of academic and enterprises, and furthermore to the other organizations.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0703104-195627
Date03 July 2004
CreatorsHuang, Want-ting
ContributorsChih-Ping Wei, Meng-Hsiang Hsu, Nian-Shing Chen
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703104-195627
Rightsunrestricted, Copyright information available at source archive

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