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Unambiguous syntactic extensible Markup Language query matching on extensible Markup Language streams

机译:在可扩展标记语言流上的明确句法可扩展标记语言查询匹配

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摘要

We propose a method of syntactic pattern recognition for extensible Markup Language query matching on extensible Markup Language streams. A set of declarative grammar rules is generated, and then its parser, which is produced by full-fledged compiler tools, can be used to match multiple queries concurrently with only one-time scan on extensible Markup Language streams. The grammar is proved unambiguous with lemmas and theorems. We also analyze the time complexity and prove the correctness of multiple-query matching. Several experiments were conducted to demonstrate the efficiency and scalability of the proposed method in various aspects. As a result, the proposed method is beneficial for building efficient extensible Markup Language-based publish/subscribe applications.
机译:我们提出了一种在可扩展标记语言流上匹配可扩展标记语言查询的句法模式识别方法。生成一组声明性语法规则,然后使用成熟的编译器工具生成的解析器可用于同时对多个查询进行匹配,而仅对可扩展标记语言流进行一次扫描。通过引理和定理证明该语法是明确的。我们还分析了时间复杂度,并证明了多查询匹配的正确性。进行了几个实验,以证明该方法在各个方面的效率和可扩展性。结果,所提出的方法对于构建有效的基于可扩展标记语言的发布/订阅应用程序是有益的。

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