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Electronic Business and Marketing pp 85–101Cite as

Using Caching Techniques to Improve the Performance of Rule-Based Inference Applications in Semantic Technologies

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 484))

Abstract

Caching strategies are typical computer science tools used in diverse application fields such as the improvement of the performance of CPUs, Disks or Databases. In the field of data management, caching queries are also a widely employed technique for performance improvement that has been previously applied to XML queries. The strategy of caching specific patterns of results enables such systems to eliminate the requirement to repeat the same queries, speeding up the response time and eliminating redundancy. This chapter introduces a system designed to apply caching techniques to Semantic Technology applications. The system has been tested in a semantic diagnosis support system. Testing results are more than promising, achieving improvements in the query response time.

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Author information

Authors and Affiliations

  1. Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid, Madrid, Spain

    Alejandro Rodríguez-González

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  1. Alejandro Rodríguez-González
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Editors and Affiliations

  1. Technology, Advanced Institute of Industrial, Higashi-Oi 1-10-40, Tokyo, 140-0011, Japan

    Tokuro Matsuo

  2. Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911, Spain

    Ricardo Colomo-Palacios

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Rodríguez-González, A. (2013). Using Caching Techniques to Improve the Performance of Rule-Based Inference Applications in Semantic Technologies. In: Matsuo, T., Colomo-Palacios, R. (eds) Electronic Business and Marketing. Studies in Computational Intelligence, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37932-1_7

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  • DOI: https://doi.org/10.1007/978-3-642-37932-1_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37931-4

  • Online ISBN: 978-3-642-37932-1

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