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Semantic Caching via Query Matching for Web Sources

机译:通过查询匹配Web源的语义缓存

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A semantic caching scheme suitable for wrappers wrapping web sources is presented. Since the web sources have typically weaker querying capabilities than conventional databases, existing semantic caching schemes cannot be applied directly. A seamlessly integrated query translation and capability mapping between the wrappers and web sources in semantic caching is described. In addition, an analysis on the match types between the user's input query and cached queries is presented. Semantic knowledge acquired from the data can be used to avoid unnecessary access to the web sources by transforming the cache miss to the cache hit. A polynomial time algorithm based on the proposed query matching technique is presented to find the best matched query in the cache. Experimental results reveal the effectiveness of the proposed semantic caching scheme.
机译:提出了一种适用于包装缠绕网源的语义缓存方案。由于Web源通常具有比传统数据库的查询能力较弱,因此无法直接应用现有的语义缓存方案。描述了语义缓存中包装器和Web源之间的无缝集成的查询翻译和功能映射。此外,呈现了对用户输入查询和缓存查询之间的匹配类型的分析。从数据获取的语义知识可用于避免通过将高速缓存未命中转换为缓存命中来避免不必要的访问Web源。提出了一种基于所提出的查询匹配技术的多项式时间算法,以查找高速缓存中最佳匹配查询。实验结果揭示了所提出的语义缓存方案的有效性。

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