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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Vivisimo clustering engine (2001), http://vivisimo.com
Grokker, http://www.groxis.com/
Ohsawa, Y., Benson, N.E., Yachida, M.: KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor. In: IEEE ADL 1998 (1998)
Takano, A., Niwa, Y., Nishioka, S., Iwayama, M., Hisamatsu, T., Imaichi, O., Sakurai, H.: Information Access Based on Associative Calculation. In: Jeffery, K., Hlaváč, V., Wiedermann, J. (eds.) SOFSEM 2000. LNCS, vol. 1963, pp. 187–201. Springer, Heidelberg (2000)
Takano, A., Niwa, Y., Nishioka, S., Iwayama, M., Hisamitsu, T., Imaichi, O., Sakurai, H.: Associative Information Access Using DualNAVI. In: Kyoto International Conference on Digital Libraries (ICDL 2000), pp. 285–289 (2000)
Takano, A.: Association Computation for Information Access. In: Grieser, G., Tanaka, Y., Yamamoto, A. (eds.) DS 2003. LNCS (LNAI), vol. 2843, pp. 33–44. Springer, Heidelberg (2003)
Google, http://www.google.com
TouchGraph, http://www.touchgraph.com/
Matsumoto, Y., Kitauchi, A., Yamashita, T., Hirano, Y., Matsuda, H., Takaoka, K., Asahara, M.: Manual of Japanese Morphological Analysis System ChaSen version 2.2.1 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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