Abstract
This paper compares the utilization of ConceptNet and WordNet in query expansion. Spreading activation selects candidate terms for query expansion from these two resources. Three measures including discrimination ability, concept diversity, and retrieval performance are used for comparisons. The topics and document collections in the ad hoc track of TREC-6, TREC-7 and TREC-8 are adopted in the experiments. The results show that ConceptNet and WordNet are complementary. Queries expanded with WordNet have higher discrimination ability. In contrast, queries expanded with ConceptNet have higher concept diversity. The performance of queries expanded by selecting the candidate terms from ConceptNet and WordNet outperforms that of queries without expansion, and queries expanded with a single resource.
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. Addison- Wesley, London (1999)
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Hsu, M.-H., Chen, H.-H.: Information Retrieval with Commonsense Knowledge. In: Proceedings of 29th ACM SIGIR International Conference on Research and Development in Information Retrieval (2006)
Lieberman, H., Liu, H., Singh, P., Barry, B.: Beating Common Sense into Interactive Applications. AI Magazine 25(4), 63–76 (2004)
Liu, H., Lieberman, H.: Robust Photo Retrieval Using World Semantics. In: Proceedings of LREC2002 Workshop: Using Semantics for IR, pp. 15–20 (2002)
Liu, H., Singh, P.: ConceptNet: A Practical Commonsense Reasoning Toolkit. BT Technology Journal 22(4), 211–226 (2004)
Liu, S., Liu, F., Yu, C.T., Meng, W.: An Effective Approach to Document Retrieval via Utilizing WordNet and Recognizing Phrases. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 266–272 (2004)
Moldovan, D.I., Mihalcea, R.: Using WordNet and Lexical Operators to Improve Internet Searches. IEEE Internet Computing 4(1), 34–43 (2000)
Morato, J., Marzal, M.Á., Lloréns, J., Moreiro, J.: WordNet Applications. In: Proceedings of International Conference of the Global WordNet Association, pp. 270–278 (2004)
Navigli, R., Velardi, P.: An Analysis of Ontology-based Query Expansion Strategies. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS (LNAI), vol. 2837, Springer, Heidelberg (2003)
Robertson, S.E., Walker, S., Beaulieu, M.: Okapi at TREC-7: Automatic Ad Hoc, Filtering, VLC and Interactive. In: Proceedings of the Seventh Text Retrieval Conference, pp. 253–264 (1998)
Salton, G., Buckley, C.: On the Use of Spreading Activation Methods in Automatic Information Retrieval. In: Proceedings of the 11th CM-SIGIR Conference on Research and Development in Information Retrieval, pp. 147–160 (1988)
Smeaton, A.F., Kelledy, F., O’Donell, R.: TREC-4 Experiments at Dublin City University: Thresholding Posting Lists, Query Expansion with WordNet and POS Tagging of Spanish. In: Proceedings of TREC-4, pp. 373–390 (1994)
Voorhees, E.M.: Query Expansion Using Lexical-Semantic Relations. In: Proceedings of the 17th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 61–69 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hsu, MH., Tsai, MF., Chen, HH. (2006). Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison. In: Ng, H.T., Leong, MK., Kan, MY., Ji, D. (eds) Information Retrieval Technology. AIRS 2006. Lecture Notes in Computer Science, vol 4182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11880592_1
Download citation
DOI: https://doi.org/10.1007/11880592_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45780-0
Online ISBN: 978-3-540-46237-8
eBook Packages: Computer ScienceComputer Science (R0)