它依次通过每个组合进行处理，尝试将输入形式与模式进行匹配，如果匹配的话，它就产生相关联的展开形式。
It proceeds through each one, trying to match the input form to the pattern and, if it matches, it produces the associated expansion.
这些模式匹配算法可以寻找并标识在内存转储之间增长最快的聚合数据结构(按照类似的所属权结构组合在一起)。
These pattern matching algorithms seek to identify aggregated data structures (grouped together by similarity of ownership structure) that are growing the most in between the memory dumps.
SPARQL的基本范例就是模式匹配，其设计原理为跨web工作，处理来自不同来源的数据组合，并且具有灵活性。
The fundamental paradigm for SPARQL is pattern matching and it is designed to work across the Web on data combined from disparate sources and to be flexible.
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