University Of Tasmania

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Removing the mismatch headache in XML keyword search

conference contribution
posted on 2023-05-23, 08:58 authored by Zeng, Y, Bao, Z, Ling, TW, Li, G
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].


Publication title

Proceedings of the 36th Annual ACM Special Interest Group on Information Retrieval






School of Information and Communication Technology


Association for Computing Machinery

Place of publication

United States of America

Event title

36th Annual ACM Special Interest Group on Information Retrieval 2013

Event Venue

Dublin, Ireland

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2013 ACM

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified