用于移动设备上XML解析的基于模式的标记化模型

Geerish Suddul, N. Nissanke, N. Mohamudally
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引用次数: 4

摘要

提出了一种在资源受限的移动设备上进行XML解析的理论标记化模型。该模型基于XML文档结构中顺序重复模式的识别。一旦识别出重复的结构,它就会将解析器从计算密集型的传统标记化过程中解脱出来,并专注于提取基于文本节点的值,以供调用应用程序进行进一步处理。我们的实验表明,所提出的标记化模型大大缓解了传统XML解析器中遇到的处理瓶颈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A pattern based tokenization model for XML parsing on mobile devices
This paper presents a theoretical tokenization model for XML parsing on resource constrained mobile devices. The model is based on the identification of sequentially repeating patterns within the structure of an XML document. As soon as it identifies a repeating structure, it relieves the parser from the computationally intensive conventional tokenization process, and focuses on extracting text node based values for further processing by the calling application. Our experiments demonstrate that the proposed tokenization model considerably relieves the processing bottlenecks encountered in conventional XML parsers.
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