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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) |
| 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 |
| Downloads: | 0 |
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