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An Efficient Query Rewriting Approach for Web Cached Data Management

机译:Web缓存数据管理的高效查询重写方法

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摘要

With the internet development, querying data on the Web is an attention problem of involving information from distributed, and often dynamically, related Web sources. Basically, some sub-queries can be effectively cached from previous queries or materialized views in order to achieve a better query performance based on the notion of rewriting queries. In this paper, we propose a novel query-rewriting model, called Hierarchical Query Tree, for representing Web queries. Hierarchical Query Tree is a labeled tree that is suitable for representing the inherent hierarchy feature of data on the Web. Based on Hierarchical Query Tree, we use case-based approach to determine what the query results should be. The definitions of queries and query results are both represented as labeled trees. Thus, we can use the same model for representing cases and the medium query results can also be dynamically updated by the user queries. We show that our case-based method can be used to answer a new query based on the combination of previous queries, including changes of requirements arid various information sources.
机译:随着Internet的发展,在Web上查询数据是一个令人关注的问题,涉及到来自分布式(通常是动态的)相关Web来源的信息。基本上,可以根据以前的查询或实例化视图有效地缓存某些子查询,以便基于重写查询的概念来实现更好的查询性能。在本文中,我们提出了一种新颖的查询重写模型,称为“层次查询树”,用于表示Web查询。分层查询树是一种标记树,适合于表示Web上数据的固有分层功能。基于分层查询树,我们使用基于案例的方法来确定查询结果应该是什么。查询和查询结果的定义均表示为带标签的树。因此,我们可以使用相同的模型来表示案例,并且中等查询结果也可以由用户查询动态更新。我们表明,基于案例的方法可用于基于先前查询的组合来回答新查询,包括需求的变化和各种信息源。

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