Abstract
This paper presents a new integrated information retrieval support system (IIRSS) which can help Web search engines retrieve cross-lingual information from heterogeneous resources stored in multi-databases in Intranet. The IIRSS, with a three-layer architecture, can cooperate with other application servers running in Intranet. By using intelligent agents to collect information and to create indexes on-the-fly, using an access control strategy to confine a user to browsing those accessible documents for him/her through a single portal, and using a new cross-lingual translation tool to help the search engine retrieve documents, the new system provides controllable information access with different authorizations, personalized services, and real-time information retrieval.
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References
Salton G, McGill M J.Introduction to Modern Information Retrieval. New York: McGraw-Hill, 1983.
Meadow C T, Boyce B R, Kraft D H.Text Information Retrieval Systems, 2/e. San Diego: Academic Press, 2000.
Haverkamp D S, Gauch S. Intelligent Information Agents: Review and Challenges for Distributed Information Sources.Journal of the American Society for Information Science and Technology 1998,49(9):304–311.
Takkinen J. Intelligent Agents for Information Retrieval and Integration.http://www.ida.liu.se/~juhta/publications. shtml, April 2005.
Braschler M, Peters C. Cross-Language Evaluation Forum: Objectives, Results, Achievements.Information Retrieval 2004,7(1–2): 7–31.
Kimura F, Maeda A, Yoshikawa M,et al. Cross-Language Information Retrieval Based on Category Matching Between Language Versions of a Web Directory.Proc 6th International Workshop on Information Retrieval with Asia Languages in Conjunction with 41th Annual Meeting of the Association for Computational Linguistics. Sapporo, Japan 2003, 153–159.
Jansen B J, Spink A, Saracevic T. Real Life, Real User and Real Needs: A Study and Analysis of User Queries on the Web.Information Processing & Management, 2000,36(2): 207–227.
Chen H H, Lee J C. Identification and Classification of Proper Nouns in Chinese Texts.Proc 16th, International Conference on Computational Linguistics. Copenhagen, Denmark, 1996. 222.
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Foundation item: Supported by the National Natural Science Foundation of China (60173010)
Biography: QIAO Lin(1972-), male, Ph. D., Lecturer, research direction: information retrieval and data mining
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Lin, Q., Wei-tong, H., Qi, W. et al. An integrated information retrieval support system for campus network. Wuhan Univ. J. Nat. Sci. 11, 42–46 (2006). https://doi.org/10.1007/BF02831701
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DOI: https://doi.org/10.1007/BF02831701