Hash Mapping Strategy for Improving Retrieval Effectiveness in Semantic Cache System

M. Sumalatha, V. Vaidehi, A. Kannan, M. Rajasekar, M. Karthigaiselvan
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引用次数: 12

Abstract

The emergence of Web applications has encouraged us to have much recent research on data caching. In our proposed work we have given a new strategy, dynamic hash mapping technique which gives fast information retrieval semantically with the cache. This increases the speed up in the information retrieval for semantic caching which is a method of data caching where it is rule based. The semantic caching technology can help to improve the efficiency of XML query processing in the Web environment. Unlike from the traditional tuple or page-based caching systems, semantic caching systems exploit the idea of reusing cached query results to answer new queries based on the query containment and rewriting techniques. The primary contribution of this article is to revisit the performance of semantic caching by this new mapping technique, which increases the efficiency in information retrieval in the semantic caching system. Our proposed method gives enhanced performance by reduced network traffic and searches the exact information from a large database, which is crucial, in a range of applications, especially in network-constrained environments
提高语义缓存系统检索效率的哈希映射策略
Web应用程序的出现鼓励我们对数据缓存进行大量最新的研究。在我们的工作中,我们提出了一种新的策略,即动态哈希映射技术,它可以通过缓存实现快速的语义信息检索。语义缓存是一种基于规则的数据缓存方法,它提高了信息检索的速度。语义缓存技术有助于提高Web环境下XML查询处理的效率。与传统的元组或基于页面的缓存系统不同,语义缓存系统利用重用缓存的查询结果的思想来响应基于查询包含和重写技术的新查询。本文的主要贡献是通过这种新的映射技术重新审视语义缓存的性能,它提高了语义缓存系统中信息检索的效率。我们提出的方法通过减少网络流量和从大型数据库中搜索准确的信息来提高性能,这在一系列应用中是至关重要的,特别是在网络受限的环境中
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