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Removing the mismatch headache in XML keyword search


Zeng, Y and Bao, Z and Ling, TW and Li, G, Removing the mismatch headache in XML keyword search, Proceedings of the 36th Annual ACM Special Interest Group on Information Retrieval, 28 July - 1 August 2013, Dublin, Ireland, pp. 1109-1110. ISBN 978-1-4503-2034-4 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 ACM

DOI: doi:10.1145/2484028.2484218


In this demo, we study one category of query refinement problems in the context of XML keyword search, where what users search for do not exist in the data while useless results are returned by the search engine. It is a hidden but important problem. We refer to it as the MisMatch problem. We propose a practical yet efficient way to detect the Mis- Match problem and generate helpful suggestions to users, namely MisMatch detector and suggester. Our approach can be viewed as a post-processing job of query evaluation. An online XML keyword search engine embedding the Mis- Match detector and suggester has been built and is available at [1].

Item Details

Item Type:Refereed Conference Paper
Keywords:interactive search, keyword suggestion, mismatch problem, query refinement
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:92180
Year Published:2013
Deposited By:Information and Communication Technology
Deposited On:2014-06-09
Last Modified:2014-12-08

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