Abstract
This paper proposes a method to utilize the correlation between query keywords in information retrieval toward extrapolating their semantic information. In accordance with the rapid development of internet and WWW (World Wide Web), it has been getting more and more hard to pinpoint the appropriate document from the huge information resource. Various search engines have been developed to retrieve the appropriate information based on the keywords, however, it is hard for the user to specify the keywords enough to pinpoint the appropriate documents. Since there often exist some semantic correlation between the keywords, this paper proposes to finding out the another keyword by utilizing their semantic correlation in order to narrow the scope of seach. Experiments were carried out to investigate the effectiveness of the proposed method and the result hinted the effectiveness of our approach as a pre-processing to narrow the scope of search for search engines.
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References
Readings in Information Retrieval, 1997.
Recent Advances in Natural Language Processing, 1997.
D. Cabeza, M. Hermenegildo, and S. Varma. The PiLLoW/CIAO Library for INTERNET and WWW Programming using Computational Logic Systems. http://www.clip.dia.fi.upm.es/miscdocs/pillow/article/pillow.html, 1996.
T. Hagino. A Classification System of Meaning based on a Modern Japanese Noun Thesaurus, 1996. in Japanese.
Philip J. Hayes. On semantic nets, frames and associations. In Proceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI-77), pages 99–107, Cambridge, Massachusetts, August 1977.
S. W. Loke and A. Davidson. Logic web:enhancing the web with logic programming. The Journal of Logic Programming, 36:195–240, 1998.
M. Nagao. Natural Language Processing. Iwanami Publisher, 1996. in Japanese.
U. Shardanand and P. Maes. Social Information Filtering: Algorithm for Automating’ Word of Mouth’. In Proceedings of CHI’95, 1995.
D. Shinkai, T. Yoshida, and S. Nishida. Complement Keywords for Query toward Efficient Information Retrieval. In 1999 IEEE International Conference on Systems, Man, and Cybernetics (SMC’99), pages 916–921, 1999.
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© 2001 Springer-Verlag Berlin Heidelberg
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Yoshida, T., Shinkai, D., Nishida, S. (2001). Utilizing the Correlation between Query Keywords for Information Retrieval. In: Wang, X.S., Yu, G., Lu, H. (eds) Advances in Web-Age Information Management. WAIM 2001. Lecture Notes in Computer Science, vol 2118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47714-4_5
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DOI: https://doi.org/10.1007/3-540-47714-4_5
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