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 Type:	Refereed Conference Paper
Keywords:	relational database, search intention interpretation
Research Division:	Information and Computing Sciences
Research Group:	Data management and data science
Research Field:	Data management and data science not elsewhere classified
Objective Division:	Information and Communication Services
Objective Group:	Information systems, technologies and services
Objective Field:	Information systems, technologies and services not elsewhere classified
UTAS 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
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