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An Intelligent Platform for Information Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4429))

Abstract

Information Retrieval (IR) has played a very important role in our modern life. However, the results of search engines are not satisfactory for human intelligent activities. The platform proposed in this paper tried to solve the problems from three aspects: One is to provide domain specific IR, which consists of task oriented searching and topic related filtering. The second is to provide open-domain, concept-based retrieval to reduce irrelevant pages and overcome ambiguous keywords. The third is to provide the exact answer by question answering. The intelligent platform will facilitate searching ability on the Web. It will be easier for users to locate the interest information by keywords or questions. Researches described in the paper are developed at Shanghai Jiaotong universities and Fudan university. The experiments have showed a promising result from each aspect. The integration of these three aspects is one of the challenges of IR in the near future.

Supported by the Committee of Science and Technology of Shanghai Municipal Government under Grant No.045107035, and the Natural Science Foundation of China under grant No. 60435020.

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Ruqian Lu Jörg H. Siekmann Carsten Ullrich

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© 2007 Springer Berlin Heidelberg

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Li, F., Huang, X. (2007). An Intelligent Platform for Information Retrieval. In: Lu, R., Siekmann, J.H., Ullrich, C. (eds) Cognitive Systems. Lecture Notes in Computer Science(), vol 4429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70934-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-70934-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70933-6

  • Online ISBN: 978-3-540-70934-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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