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iSearch: an interpretation based framework for keyword search in relational databases

Citation

Zeng, Z and Bao, Z and Ling, TW and Lee, ML, iSearch: an interpretation based framework for keyword search in relational databases, Proceedings of the 3rd International Workshop on Keyword Search on Structured Data, 20-24 May 2012, Arizona, USA, pp. 3-10. ISBN 978-1-4503-1198-4 (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 ACM

DOI: doi:10.1145/2254736.2254741

Abstract

Keyword search has become an effective information retrieval method for structured data. Existing works in relational database keyword search have addressed the problems of finding and evaluating candidate results. However, given that keyword queries are inherently ambiguous, it is often the case that candidate results do not match users’ search intention. In this paper, we analyze the limitations of current keyword search techniques and introduce the problem of generating and ranking keyword query interpretations. We propose a novel 3-phase keyword search paradigm which consists of: (1) the ability to predict query interpretations; (2) incorporate user feedback to to remove keyword ambiguities; (3) a ranking model to evaluate a query interpretation.

Item Details

Item Type:Refereed Conference Paper
Keywords:relational database, search intention interpretation
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Database Management
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:Bao, Z (Dr Zhifeng Bao)
ID Code:92185
Year Published:2012
Deposited By:Information and Communication Technology
Deposited On:2014-06-09
Last Modified:2015-02-12
Downloads:0

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