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Validating java xml parser

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The results of pre-scanning phase are used to help partition the XML document for data parallel processing.The research continued with an attempt to parallelize the pre-scanning stage to exploit more parallelism [8]. Head also explored new techniques for parallelizing parsers for very large XML documents [7].

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The parallel algorithm first partitions the XML document by chunks and then apply data-parallel model to process each chunk in parallel. Error: Public ID: null System ID: file:/C:/herong/xml/invalid_Line number: 33 Column number: 9 Message: The content of element type "word" must match "(update? Error: Public ID: null System ID: file:/C:/herong/xml/invalid_Line number: 35 Column number: 33 Message: Attribute "date" is required and must be specified for element type "update". Error: Public ID: null System ID: file:/C:/herong/xml/invalid_Line number: 30 Column number: 26 Message: Attribute "is_acronym" with value "yes" must have a value from the list "true false ".Moreover, our paper is the first one describing the parallel schema validation and the hybrid parallel model.The performance evaluation results show the performance benefits by this model and parallel XML parsing and schema validation. Section 2 introduces hybrid parallel XML processing model.For example, the e Bay Web services specification has a few thousand elements and hundreds of complex type definitions.