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An Associative Information Retrieval Based on the Dependency of Term Co-occurrence

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Discovery Science (DS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3245))

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Abstract

This paper proposes a method to lead users to appropriate information based on associative information access. People of nowadays can access Web resources easily. However it is difficult to reach the information that satisfies users’ requests. The results obtained from search engines usually contain large amount of unnecessary information. Our target users are the persons who could not express appropriate keywords for information retrieval. To support such users, we clarified the several requirements of an associative information access support system. According to these requirements, we propose Word Colony that visualizes the overview of the contents of results and suggests unexpected words as new keywords for the next retrieval. To design Word Colony, we introduced the notion of the dependency of term co-occurrence (DTC) in a document. In this paper, we describe the details of DTC, Word Colony and its demonstration.

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© 2004 Springer-Verlag Berlin Heidelberg

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Akaishi, M., Satoh, K., Tanaka, Y. (2004). An Associative Information Retrieval Based on the Dependency of Term Co-occurrence. In: Suzuki, E., Arikawa, S. (eds) Discovery Science. DS 2004. Lecture Notes in Computer Science(), vol 3245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30214-8_15

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  • DOI: https://doi.org/10.1007/978-3-540-30214-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23357-2

  • Online ISBN: 978-3-540-30214-8

  • eBook Packages: Springer Book Archive

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