Abstract
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this problem in another aspect. In this paper, the skyline top-K keyword queries, a novel kind of keyword queries on XML streams, are presented. For such queries, skyline is used to choose results on XML streams without considering the complicated factors influencing the relevance to queries. With skyline query processing techniques, algorithms are presented to process skyline top-K keyword queries on XML streams efficiently. Extensive experiments are performed to verify the effectiveness and efficiency of the algorithms presented.
Support by the Key Program of the National Natural Science Foundation of China under Grant No.60533110; the National Grand Fundamental Research 973 Program of China under Grant No.2006CB303000; the National Natural Science Foundation of China under Grant No.60773068 and No.60773063.
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
Hristidis, V., Papakonstantinou, Y., Balmin, A.: Keyword Proximity Search on XML Graphs. In: ICDE (2003)
Barg, M., Wong, R.K.: Structural proximity searching for large collections of semi-structured data. In: CIKM (2001)
Cohen, S., Mamou, J., Kanza, Y., Sagiv, Y.: XSEarch: A Semantic Search Engine for XML. In: VLDB (2003)
Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRANK: Ranked Keyword Search over XML Documents. In: SIGMOD (2003)
Borzsonyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: Proc. 17th Int. Conf. on Data Engineering (2001)
Tatarinov, I., Viglas, S., Beyer, K.S., et al.: Storing and Querying Ordered XmlUsing a Relational Database System. In: SIGMOD (2002)
Pei, J., Jiang, B., Lin, X., Yuan, Y.: Probabilistic Skylines on Uncertain Data. In: VLDB (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, L., Wang, H., Li, J., Gao, H. (2009). Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams. In: Zhou, X., Yokota, H., Deng, K., Liu, Q. (eds) Database Systems for Advanced Applications. DASFAA 2009. Lecture Notes in Computer Science, vol 5463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00887-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-00887-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00886-3
Online ISBN: 978-3-642-00887-0
eBook Packages: Computer ScienceComputer Science (R0)