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- W2050672316 abstract "With the wide adoption of XML in many applications, people begin to manage thousands of XML documents in database. In many applications which backend data source powered by a XML database management system, k eyword search is important to query XML data with a regular structure if the user does not know the structure or only knows the structure partially. Essentially, many keyword search can be rewritten to XPath query Q = [//|/] e 1 [//|/] e 2 [//|/] … [//|/] e m [ text() =str ] -suppose there is a keyword search [ books William ] on XML data about publishing, the result could be the union of the results of the two queries after database system rewriting based on meta data: // books // chapters // authors [ text()=”William” ] and // books // authors [ text()=”William” ]. We propose an XML index structure BTP-Index, composed of XML structure index mechanism which backbone is a Suffix tree, for evaluation of path ([//|/] e 1 [//|/] e 2 [//|/]…[//|/] e m ) of Q , and XML content index mechanism which is based on Tries & Patricia tree, for the evaluation of [ text() = str ], filtering part of query Q. Using BTP-Index, we can process query Q efficiently . We have proven the effectiveness of BTP index in our Relation-XML dual engine database management system." @default.
- W2050672316 created "2016-06-24" @default.
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- W2050672316 date "2010-10-01" @default.
- W2050672316 modified "2023-10-17" @default.
- W2050672316 title "An Efficient XML Index for Keyword Query with Semantic Path in Database" @default.
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- W2050672316 doi "https://doi.org/10.4304/jsw.5.10.1052-1059" @default.
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