| Summary: | 碩士 === 淡江大學 === 資訊管理學系碩士班 === 94 === Since the information technology has been developed so fast, searching the related knowledge or information in specific domain is much easier than before. However, the amount of returning information usually too large and the relations between the handling objects are usually complicated. The users can only processing the collected objects, or documents, based on their basic properties such as document name or publishing years. It is difficult for a user to manage all the deep knowledge involved based on the information mentioned or discussed within the document. However, in order to master the overall concepts of the particular domain, it is necessary for the user to be able to actually study the article and understand the real contents of it and then, some how, to record the structures and relations of the knowledge which he has mastered after reading and understand the contents elaborated in the documents. If we can classify and describe the related information easily, it would help the researcher to grasp the whole picture of the domain and enhance the quality of his work.
In this research we have shown how a researcher can improve the effectiveness of his study by easily build-up the complete domain ontology and specify the concept and the relations between the research articles in a structured way. The structure of the research domain is following a specific ontology which is determined before the experiment. The users are allowed to present the relations between the ontology objects in the articles by calculating the weightings and visualizing the arranged data and show the complete domain framework. The visualization is done by drawing relational diagrams based on the user’s query. This permits the user to master the overall concepts of the interested domain. The total framework is implemented on the web for easy accessibility. This approach of domain knowledge analysis provides more precise information about document relationships.
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