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http://dx.doi.org/10.9723/jksiis.2012.17.3.059

Cloud storage-based intelligent archiving system applying automatic document summarization  

Yoo, Kee-Dong (단국대학교 경영학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.17, no.3, 2012 , pp. 59-68 More about this Journal
Abstract
Zero client-based cloud storage technology is gaining much interest as a tool to centralized management of organizational documents nowadays. Besides the well-known cloud storage's defects such as security and privacy protection, users of the zero client-based cloud storage point out the difficulty in browsing and selecting the storage category because of its diversity and complexity. To resolve this problem, this study proposes a method of intelligent document archiving by applying an algorithm-based automatic topic identification technology. Without user's direct definition of category to store the working document, the proposed methodology and prototype enable the working documents to be automatically archived into the predefined categories according to the extracted topic. Based on the proposed ideas, more effective and efficient centralized management of electronic documents can be achieved.
Keywords
Intelligent Archiving; Topic identification; Cloud storage; Zero client;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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