Abstract
Keyword search is a popular way to discover information from XML data. To return meaningful results, SLCA (smallest lowest common ancestor) has been proposed to identify interesting data nodes. Since the SLCAs are obtained from a series of intermediate LCAs, it can often incur many unnecessary LCA computations even when the size of final results is small. In this paper, we propose an Iterative-Skip approach to address this challenge. We first study the relation between SLCA candidates and propose a series of properties. Then based on these properties, we design a novel skip strategy to skip more SLCA computations. Experimental results show the effectiveness of our approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bender, M.A., Farach-Colton, M.: The lca problem revisited. In: Gonnet, G.H., Viola, A. (eds.) LATIN 2000. LNCS, vol. 1776, pp. 123–125. Springer, Heidelberg (2000)
Fischer, J., Heun, V.: Theoretical and practical improvements on the rmq-problem, with applications to lca and lce. In: Lewenstein, M., Valiente, G. (eds.) CPM 2006. LNCS, vol. 4009, pp. 36–48. Springer, Heidelberg (2006)
Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: Xrank: Ranked keyword search over xml documents. In: SIGMOD 2003 (2003)
Wang, J., Li, G., Feng, J., Zhou, L.: Effective keyword search for valuable lcas over xml documents. In: CIKM 2007 (2007)
Berkeley DB: http://www.oracle.com/database/berkeleydb/index.html
XMark Project, http://www.xmlbenchmark.org/
Liu, Z., Chen, Y.: Identifying meaningful return information for xml keyword search. In: SIGMOD 2007 (2007)
DBLP XML records, http://dblp.unitrier.de/xml/
Sun, C., Chan, C.-Y., Goenka, A.K.: Multiway slca-based keyword search in xml data. In: WWW 2007 (2007)
Xu, Y., Papakonstantinou, Y.: Efficient keyword search for smallest lcas in xml databases. In: SIGMOD 2005 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, J., He, Z., Tao, Y., Wang, X., Hu, H., Wang, W. (2010). Efficient SLCA-Based Keyword Search on XML Databases: An Iterative-Skip Approach. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-15364-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15363-1
Online ISBN: 978-3-642-15364-8
eBook Packages: Computer ScienceComputer Science (R0)