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SCAM: Semantic Caching Architecture for Efficient Content Matching over Data Grid

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Advances in Intelligent Web Mastering

Part of the book series: Advances in Soft Computing ((AINSC,volume 43))

Abstract

Heterogeneous, distributed multi-databases (data warehouses, grids) are growing day by day as businesses demand more economical and flexible solutions for their data storage and processing needs. One of the main issues obstructing the large scale deployment of distributed multi-databases is latencies involved in data retrieval. Such problems are usually solved with the help of persistent caches. The paper presents a semantic caching architecture which supports faster semantic matching in query processing. This paper enhances the existing architecture of semantic cache and provides the mapping of hierarchical indexing scheme over it with the help of case study in order to represent the working of architecture. This paper also provides experimental results of the query processing over updated architecture and provides the discussion over comparison of the extended architecture with the previously proposed architecture.

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Katarzyna M. Wegrzyn-Wolska Piotr S. Szczepaniak

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© 2007 Springer-Verlag Berlin Heidelberg

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Bashir, M.F., Zaheer, R.A., Shams, Z.M., Qadir, M.A. (2007). SCAM: Semantic Caching Architecture for Efficient Content Matching over Data Grid. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-72575-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72574-9

  • Online ISBN: 978-3-540-72575-6

  • eBook Packages: EngineeringEngineering (R0)

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