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The Experimental Evaluation of Rules Partitioning Conception for Knowledge Base Systems

  • Roman SimińskiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 521)

Abstract

This article presents the theoretical background for implementation of KBExplorer software package and the summary of the empirical study focused on the evaluation of this software on large, real-word knowledge bases. KBExplorer package is the own, originally designed software which provides most of the expert system shell’s common functions. The fundamental part of such software is the KBExpertLib library. This library allows to build domain expert systems using Java programming language. The first part of experiments was focused on the effectiveness of rules partition algorithm and estimation of the memory occupancy for additional data necessary for storing information about rules groups. The effectiveness evaluation of the forward and backward inference algorithms was the main goal of the second part of the experiments.

Keywords

Rule knowledge base Inference algorithms implementation Rules partitioning strategies Expert systems 

Notes

Acknowledgments

This work is a part of the project “Exploration of rule knowledge bases” founded by the Polish National Science Centre (NCN: 2011/03/D/ST6/03027).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Computer ScienceSilesian UniversitySosnowiecPoland

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