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Published in:
2010 | OriginalPaper | Chapter
An Efficient Indexing and Compressing Scheme for XML Query Processing
Authors : I-En Liao, Wen-Chiao Hsu, Yu-Lin Chen
Published in: Networked Digital Technologies
Publisher: Springer Berlin Heidelberg
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Due to the wide-spread deployment of business-to-business (B2B) E-commerce, XML has become the standard format for data exchange over the Internet. How to process XML queries efficiently is an important research issue. Various indexing techniques have been proposed in the literature. However, they suffer from some of the following problems in various degrees. First, some indexing methods require huge size for index structures, which could be bigger than the original XML document in some cases. Second, some of them require long index construction time to minimize the size of index structures. Third, some of them can’t support complex queries efficiently. To overcome the aforementioned problems, we propose an indexing method called NCIM (Node Clustering Indexing Method). The experimental results show that NCIM can compress XML documents with high compression rate and low index construction time. It also supports complex queries efficiently.