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Efficient evaluation of multiple queries on streaming XML data

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dc.contributor.author Mong Li
dc.contributor.author Lee Chin
dc.contributor.author Chua Wynne
dc.contributor.author Hsu Kian-Lee
dc.contributor.author Tan
dc.date.accessioned 2018-01-22T17:24:50Z
dc.date.available 2018-01-22T17:24:50Z
dc.date.issued 2002
dc.identifier.uri http://hdl.handle.net/123456789/6946
dc.description.abstract Traditionally, XML documents are processed at where they are stored. This allows the query processor to exploit pre-computed data structures (e.g., index) to retrieve the desired data efficiently. However, this mode of processing is not suitable for many applications where the documents are frequently updated. In such situations, efficient evaluation of multiple queries over streaming XML documents becomes important. This paper introduces a new operator, mqX-scan, which efficiently evaluates multiple queries with a single pass on streaming XML data. To facilitate matching, mqX-scan utilizes templates containing paths that have been traversed to match regular path expression patterns in a pool of queries. Results of the experiments demonstrate the efficiency and scalability of the mqX-scan operator.
dc.format application/pdf
dc.title Efficient evaluation of multiple queries on streaming XML data
dc.type generic


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