Abstract
xml keyword search provides a simple and user-friendly way of retrieving data from xml databases, but the ambiguities of keywords make it difficult to effectively answer keyword queries. In this paper, we tackle the keyword ambiguity problem by exploiting the relationship between keywords in a query. We propose an approach which infers and ranks a set of likely search intentions. Extensive experiments verified the better effectiveness of our approach than existing systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bao, Z., Ling, T.W., Chen, B., Lu, J.: Effective XML keyword search with relevance oriented ranking. In: ICDE, pp. 517–528 (2009)
Li, J., Liu, C., Zhou, R., Wang, W.: Suggestion of promising result types for XML keyword search. In: EDBT, pp. 561–572 (2010)
Liu, Z., Chen, Y.: Identifying meaningful return information for XML keyword search. In: SIGMOD Conference, pp. 329–340 (2007)
Liu, Z., Chen, Y.: Reasoning and identifying relevant matches for XML keyword search. PVLDB 1(1), 921–932 (2008)
Liu, Z., Chen, Y.: Processing keyword search on XML: a survey. World Wide Web 14(5-6), 671–707 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, J., Wang, J., Huang, M. (2013). Exploiting the Relationship between Keywords for Effective XML Keyword Search. In: Catania, B., Guerrini, G., Pokorný, J. (eds) Advances in Databases and Information Systems. ADBIS 2013. Lecture Notes in Computer Science, vol 8133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40683-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-40683-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40682-9
Online ISBN: 978-3-642-40683-6
eBook Packages: Computer ScienceComputer Science (R0)