Intelligence Chinese Document Semantic Indexing System

Zhongzhi Shi (), Qing He, Ziyan Jia and Jiayou Li
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Zhongzhi Shi: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Zhongguan Cun, Kexueyuan Nanlu #6, P.O. Box 2704, Beijing 100080, China
Qing He: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Zhongguan Cun, Kexueyuan Nanlu #6, P.O. Box 2704, Beijing 100080, China
Ziyan Jia: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Zhongguan Cun, Kexueyuan Nanlu #6, P.O. Box 2704, Beijing 100080, China
Jiayou Li: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Zhongguan Cun, Kexueyuan Nanlu #6, P.O. Box 2704, Beijing 100080, China

International Journal of Information Technology & Decision Making (IJITDM), 2003, vol. 02, issue 03, 407-424

Abstract: With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, is proposed. Some new technologies are integrated in ICDSIS to obtain good performance. ICDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gather; a multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; a swarm intelligence based document clustering method is used for information organization; a concept-based retrieval interface is applied for user interactive retrieval. ICDSIS is an all-sided solution for information retrieval on the Internet.

Keywords: Information processing; document classification; document clustering; semantic indexing; concept space (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1142/S0219622003000732

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