有效地回答以文档为中心的数据上的无模式XML查询

Xiaoli Li, Xiaoguang Li, Baoyan Song
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引用次数: 0

摘要

无模式查询处理已成为缺乏结构信息或跨多个数据源的XML查询的一项关键技术。如何从大量无意义的结果中有效地过滤出正确的结果是一个重要的问题。为了解决什么是有意义结果的基本问题,我们提出了一个基于结构的有意义结果确定模型。该模型比互连-关系和MLCAS等典型模型涵盖了更准确的结果。大量的实验表明,我们的方法对真实的XML文档具有更好的查询质量。
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Effectively Answering Schema-Free XML Queries over Document-Centric Data
Schema-free query processing has become a key technique of XML query for the absence of structural information or over multiple data sources. It is an important issue to effectively and efficiently filter out correct results from many meaningless results. To solve the basic problem of what are meaningful results, we propose a structure-based model for meaningful result determination. This model covers more correct results than typical model like Interconnection- Relationship and MLCAS. The extensive experiments show that our approach has better querying quality for real XML documents.
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