Abstract
Branch query processing is a core operation of XML query processing. In recent years, a number of stack based twig join algorithms have been proposed to process twig queries based on tag stream index. However, each element is labeled separately in tag stream index, similarity of same structured elements is ignored; besides, algorithms based on tag stream index perform worse on large document. In this paper, we propose a novel index Clustered Chain Path Index (CCPI for brief) based on a novel labeling scheme: Clustered Chain Path labeling. The index provides good properties for efficiently processing branch queries. It also has the same cardinality as 1-index against tree structured XML document. Based on CCPI, we design efficient algorithms KMP-Match-Path to process queries without branches and Related-Path-Segment-Join to process queries with branches. Experimental results show that proposed query processing algorithms based on CCPI outperform other algorithms and have good scalability.
This paper is partially supported by Natural Science Foundation of Heilongjiang Province, Grant No. zjg03-05 and National Natural Science Foundation of China, Grant No. 60473075 and Key Program of the National Natural Science Foundation of China, Grant No. 60533110.
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Wang, H., Li, J., Wang, H. (2006). Clustered Chain Path Index for XML Document: Efficiently Processing Branch Queries. In: Aberer, K., Peng, Z., Rundensteiner, E.A., Zhang, Y., Li, X. (eds) Web Information Systems – WISE 2006. WISE 2006. Lecture Notes in Computer Science, vol 4255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11912873_49
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DOI: https://doi.org/10.1007/11912873_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48105-8
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