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XCluster synopses for structured XML content

Polyzotis, Neoklis, Garofalakis Minos

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Year 2006
Type of Item Conference Full Paper
Bibliographic Citation N. Polyzotis and M. Garofalakis, "XCluster synopses for structured XML content", in 22nd International Conference on Data Engineering, 2006, doi: 10.1109/ICDE.2006.175
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We tackle the difficult problem of summarizing the path/branching structure and value content of an XML database that comprises both numeric and textual values. We introduce a novel XML-summarization model, termed XCLUSTERs, that enables accurate selectivity estimates for the class of twig queries with numeric-range, substring, and textual IR predicates over the content of XML elements. In a nutshell, an XCLUSTER synopsis represents an effective clustering of XML elements based on both their structural and value-based characteristics. By leveraging techniques for summarizing XML-document structure as well as numeric and textual data distributions, our XCLUSTER model provides the first known unified framework for handling path/branching structure and different types of element values. We detail the XCLUSTER model, and develop a systematic framework for the construction of effective XCLUSTER summaries within a specified storage budget. Experimental results on synthetic and real-life data verify the effectiveness of our XCLUSTER synopses, clearly demonstrating their ability to accurately summarize XML databases with mixed-value content. To the best of our knowledge, ours is the first work to address the summarization problem for structured XML content in its full generality.