A concept-based retrieval method for entity-oriented search

Hou, Jun & Nayak, Richi (2013) A concept-based retrieval method for entity-oriented search. In Christen, Peter, Kennedy, Paul, Liu, Lin, Ong, Kok-Leong, Stranieri, Andrew, & Zhao, Yanchang (Eds.) 11th Australasian Data Mining Conference (AusDM 2013), Conferences in Research and Practice in Information Technology, Australian Computer Society, Canberra, ACT.


Entity-oriented retrieval aims to return a list of relevant entities rather than documents to provide exact answers for user queries. The nature of entity-oriented retrieval requires identifying the semantic intent of user queries, i.e., understanding the semantic role of query terms and determining the semantic categories which indicate the class of target entities. Existing methods are not able to exploit the semantic intent by capturing the semantic relationship between terms in a query and in a document that contains entity related information. To improve the understanding of the semantic intent of user queries, we propose concept-based retrieval method that not only automatically identifies the semantic intent of user queries, i.e., Intent Type and Intent Modifier but introduces concepts represented by Wikipedia articles to user queries. We evaluate our proposed method on entity profile documents annotated by concepts from Wikipedia category and list structure. Empirical analysis reveals that the proposed method outperforms several state-of-the-art approaches.

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ID Code: 63174
Item Type: Conference Paper
Refereed: Yes
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013, Australian Computer Society, Inc.
Copyright Statement: This paper appeared at Eleventh Australasian Data Mining Conference (AusDM 2013), Canberra, 13-15 November 2013. Conferences in Research and Practice in Information Technology, Vol. 146. Peter Christen, Paul Kennedy, Lin Liu, Kok-Leong Ong, Andrew Stranieri and Yanchang Zhao, Eds. Reproduction for academic, not-for profit purposes permitted provided this text is included.
Deposited On: 07 Oct 2013 22:28
Last Modified: 30 Mar 2016 05:40

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