Algorithms for Extracting Topic across Different Types of Documents and their Applications to Management and Utilization of Information

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Clever management of the various types of documents used in intelligent activities and their efficient utilization are important. However, most available methods target only a single type of document. A more promising approach is topic-centered document management. Therefore, this research provides algorithms for extracting topic across different types of documents. Moreover, a prototype of topic-centered document management system has been developed. This system has the adaptability to construct its functions and interfaces in accordance with the users' purposes of document management. Consequently, this system shows a novel support direction for document management to improve users' bewilderment as they come and go among various applications.