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This digital document is a journal article from Information Systems, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description: User queries on extensible markup language (XML) documents are typically expressed as regular path expressions. A variety of indexing techniques for efficiently retrieving the results to such queries have been proposed in the recent literature. While these techniques are applicable to documents that are completely schema-less, in practice XML documents often adhere to a schema, such as a document type descriptor (DTD). In this paper, we propose schema-conscious path-hierarchy indexing of XML (SphinX), a new XML indexing scheme that utilizes the schema to significantly enhance the search process. SphinX implements a persistent index structure that seamlessly combines the schema information with standard B-tree technology, resulting in a simple and scalable solution. A performance evaluation over a variety of XML documents, including the Xmark benchmark, indicates significant benefits with regard to both index construction and index access.
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