Abstract
The goal of information retrieval (IR) is to identify documents which best satisfy users’ information need. The task of formulating an effective query is difficult in the sense that it requires users to predict the keywords that will appear in the desired documents. In our study we proposed a method of query refinement by combining candidate keywords with query operators. The method uses the concept Prime Keyword Set, which is a subset of whole keywords and obtained by global analysis of the target database. Considering user’s intension we generate rational size of candidates by local analysis based on several specified principles. The experiments are conducted to confirm the effectiveness and efficiency of our proposed method. Moreover, as an extension of our approach an online system is implemented to investigate the feasibility.
This is a preview of subscription content, log in via an institution to check access.
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
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval, pp. 24–34. Addison-Wesley, Reading (1999)
Carmel, D., Farchi, E., Petruschka, Y.: Automatic Query Refinement using Lexical Affinities with Maximal Information Gain. In: ACM SIGIR, pp. 283–290 (2002)
Carpineto, C., De Mori, R., Romano, G., Bigi, B.: An Information-Theoretic Approach to Automatic Query Expansion. ACM TOIS 19(1), 1–27 (2001)
Croft, W.B., Cook, R., Wilder, D.: Providing government information on the Internet: Experience with THOMAS. In: Proceedings of the Digital Libraries Conference (DL 1995), pp. 19–24 (1995)
Cui, C., Chen, H., Furuse, K., Ohbo, N.: Web Query Refinement without Information Loss. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 363–372. Springer, Heidelberg (2004)
George, M.: Special Issue, WordNet: An On-line Lexical Database. International Journal of Lexicography 3(4) (1990)
Kraft, R., Zien, J.: Mining anchor text for query refinement. In: Proceedings of the 13th international conference on World Wide Web, pp. 666–674 (2004)
Mitra, M., Singhal, A., Buckley, C.: Improving Automatic Query Expansion. In: ACM SIGIR, pp. 206–214 (1999)
Vélez, B., et al.: Fast and Effective Query Refinement. In: ACM SIGIR, pp. 6–15 (1997)
Voorhees, E.M.: Query Expansion Using Lexical-Semantic Relations. In: ACM SIGIR, pp. 61–69 (1994)
Xu, J., Croft, W.B.: Improving the effectiveness of information retrieval with local context analysis. ACM Transactions on Information System 18(1), 79–112 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cui, C., Chen, H., Furuse, K., Ohbo, N. (2005). Adaptive Query Refinement Based on Global and Local Analysis. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_73
Download citation
DOI: https://doi.org/10.1007/11539506_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
eBook Packages: Computer ScienceComputer Science (R0)