An ontology-based mining approach for user search intent discovery

Shen, Yan and Li, Yuefeng and Xu, Yue and Iannella, Renato and Algarni, Abdulmohsen and Tao, Xiaohui (2011) An ontology-based mining approach for user search intent discovery. In: ADCS 2011: 16th Australasian Document Computing Symposium, 2 Dec 2011, Canberra, Australia.

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Abstract

Discovering proper search intents is a vital process to return desired results. It is constantly a hot research topic regarding information retrieval in recent years. Existing methods are mainly limited by utilizing context-based mining, query expansion, and user profiling techniques, which are still suffering from the issue of ambiguity in search queries. In this paper, we introduce a novel ontology-based approach in terms of a world knowledge base in order to construct personalized ontologies for identifying adequate concept levels for matching user search intents. An iterative mining algorithm is designed for evaluating potential intents level by level until meeting the best result. The propose-to-attempt approach is evaluated in a large volume RCV1 data set, and experimental results indicate a distinct improvement on top precision after compared with baseline models.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright for this article remains with the authors.
Depositing User: Dr Xiaohui (Daniel) Tao
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 30 May 2012 06:32
Last Modified: 30 Jul 2012 23:05
Uncontrolled Keywords: ontology mining; search intent; LCSH; world knowledge
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/20183

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