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Regular Matching and Inclusion on Compressed Tree Patterns with Context Variables

机译:带有上下文变量的压缩树模式的常规匹配和包含

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We study the complexity of regular matching and inclusion for compressed tree patterns extended by context variables. The addition of context variables to tree patterns permits us to properly capture compressed string patterns but also compressed patterns for unranked trees with tree and hedge variables. Regular inclusion for the latter is relevant to certain query answering on X_(ML) streams with references.
机译:我们研究了由上下文变量扩展的压缩树模式的常规匹配和包含的复杂性。在树模式中添加上下文变量可以使我们正确捕获压缩的字符串模式,但也可以捕获具有树和树篱变量的未排序树的压缩模式。后者的常规包含与对带有引用的X_(ML)流的某些查询回答有关。

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