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- W1595366384 abstract "AbstractXML DBMSs require new indexing techniques to efficiently process structural search and full-text search as integrated in XQuery. Much research has been done for indexing XML documents. In this paper we first survey some of them and suggest a classification scheme. It appears that most techniques are indexing on paths in XML documents and maintain a separated index on values. In some cases, the two indexes are merged and/or tags are encoded. We propose a new method that indexes XML documents on ordered trees, i.e., two documents are in the same equivalence class is they have the same tree structure, with identical elements in order. We develop a simple benchmark to compare our method with two well-known European products. The results show that indexing on full trees leads to smaller index size and achieves 1 to 10 times better query performance in comparison with classical industrial methods that are path-based.KeywordsQuery ProcessingIndexing SchemeInverted ListPath ExpressionXPath QueryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1595366384 date "2005-01-01" @default.
- W1595366384 modified "2023-09-25" @default.
- W1595366384 title "SIOUX: An Efficient Index for Processing Structural XQueries" @default.
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- W1595366384 doi "https://doi.org/10.1007/11546924_55" @default.
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