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A heuristics-based approach to query optimization in structured document databases

机译:基于启发式的结构化文档数据库中查询优化方法

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The number of documents published via the World Wide Web in the form of SGML/HTML has been rapidly growing for years. Efficient, declarative access mechanisms for this type of document-structured documents in general-are becoming of great importance. This paper reports our most recent advance in pursuit of the effective processing and optimization of structured document queries, which are important for large repositories of structured documents. Our methodology emphasizes applying exclusively deterministic transformations on query expressions to achieve the best possible optimization efficiency. A new approach is thus proposed that facilitates the exploitation of the DTD (document type definition) knowledge, structural properties and structure indices of structured documents for the purpose of fast query optimization.
机译:多年来,通过万维网发布的文件数量通过全球网络发布的文件数量迅速增长。这类文档结构化文件的高效,声明性访问机制一般 - 正变得非常重要。本文报告了我们最近的提前追求结构化文件查询的有效处理和优化,这对于结构化文件的大型存储库很重要。我们的方法强调在查询表达式上应用专门的确定性转换,以实现最佳的优化效率。因此提出了一种新的方法,以便利用DTD(文档类型定义)知识,结构性属性和结构指数的结构化文档的目的,以便快速查询优化。

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