Abstract
In this paper, we address a novel method of Web query expansion by using WordNet and TSN. WordNet is an online lexical dictionary which describes word relationships in three dimensions of Hypernym, Hyponym and Synonym. And their impacts to expansions are different. We provide quantitative descriptions of the query expansion impact along each dimension. However, WordNet may bring many noises for the expansion due to its collection independent characteristic. Furthermore, it may not catch current state of words and their relationships because of the explosive increase of the Web. To overcome those problems, collection-based TSN (Term Semantic Network) is created with respect to word co-occurrence in the collection. We use TSN both as a filter and a supplement for WordNet. We also provide a quantitatively study as what is the best way for the expansion with TSN. In our system, we combine the query expansions along each semantic dimension as our overall solution. Our experiments reveal that the combined expansion can provide a satisfied result for the Web query performance. The methodologies in this paper have been already employed in our Web image search engine system.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Li, Y., Bandar, Z.A., McLean, D.: An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources, Knowledge and Data Engineering. IEEE Transactions on 15(4), 871–882 (2003)
Miller, G.A., Beckwith, R., Felbaum, C., Gross, D., Miller, K.: Introduction to WordNet: An On-line Lexical Database (1993) (Revised Version)
Jin, Q., Zhao, J., Xu, B.: Query Expansion Based on Term Similarity Tree Model. In: Natural Language Processing and Knowledge Engineering. International Conference, October 26-29, pp. 400–406 (2003)
Gong, Z., U, L.H., Cheang, C.W.: An Implementation of Web Image Search Engines. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, E.-p. (eds.) ICADL 2004. LNCS, vol. 3334, pp. 355–367. Springer, Heidelberg (2004)
Lin, S., Chen, M.C., Ho, J., Huang, Y.: ACIRD: Intelligent Internet Document Organization and Retrieval. IEEE Transactions on Knowledge and Data Engineering 14(3), 599–614 (2002)
Qiu, Y., Frei, H.P.: Concept based query expansion. In: Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval, pp. 160–170. ACM Press, New York (1993)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)
Jing, Y.F., Croft, W.B.: An Association Thesaurus for Information Retrieval. In: RIAO 1994 Conference Proceedings, New York, October 1994, pp. 146–160 (1994)
Crouch, C.J., Yang, B.: Experiments in automatic statistical thesaurus construction. In: Proceeding of ACM SIGIR International Conference on Research and Development in Information Retrieval, pp. 77–88 (1993)
Rocchio, J.Y.: Relevance Feedback in Information Retrieval. In: The SMART Retrieval System, pp. 313–323. Prentice Hall, Englewood Cliffs (1971)
Buckley, C., Singhal, A., Mitra, M., Salton, G.: New Retrieval Approaches Using SMART: TREC 4. In: Harman, D. (ed.) Proceedings of the TREC 4 Conference. National Institute of Standards and Technology Special Publication (1996)
Agrawaland, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. 20th Int’l Conf. Very Large Data Bases (VLDB) (September 1994)
Sriari, R.K., Zhang, Z., Rao, A.: Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval 2(2), 1–37 (2000)
Yang, J., Wenyin, L., Zhang, H., Zhuang, Y.: Thesaurus-aided approach for image browsing and retrieval. In: Thesaurus-aided approach for image browsing and retrieval, Multimedia and Expo, 2001. ICME 2001. IEEE International Conference, Augest 22-25, pp. 1135–1138 (2001)
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
Gong, Z., Cheang, C.W., Leong Hou, U. (2005). Web Query Expansion by WordNet. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_17
Download citation
DOI: https://doi.org/10.1007/11546924_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28566-3
Online ISBN: 978-3-540-31729-6
eBook Packages: Computer ScienceComputer Science (R0)