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- W8113005 abstract "With the development of XML data, XML indexing is often used for accelerating query processing. In this paper, we present an efficient XML structural index for multiple query processing. Based on the indexing methods for both XML document and a set of queries, we propose a novel query processing method, which employs hash operation to answer a set of queries simultaneously and efficiently. For further optimization, we expand index for supporting more complex queries. With the help of a suffix tree, we explore both the prefix and suffix parts among queries. A caching method is used to expand the sharing parts in XML document and reduce unnecessary operations, thus further boost the query performance. Experimental results demonstrate that our index brings a substantial performance improvement on query performance and is more scalable compared with the existing techniques." @default.
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- W8113005 date "2012-01-01" @default.
- W8113005 modified "2023-09-27" @default.
- W8113005 title "Efficient Structural XML Index for Multiple Queries" @default.
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- W8113005 doi "https://doi.org/10.1007/978-3-642-25781-0_64" @default.
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