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Ontology-Based Decision Support System for the Choice of Problem-Solving Procedure of Commutation Circuit Partitioning

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 754))

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Abstract

This paper concerned with an architectural design of ontology-based decision support system intended to optimize the choice of problem-solving procedure of commutation circuit partitioning of the electronic computer during the design phase. Analysis of formal commutation circuit partitioning problems definition against the criteria was performed. A mathematical model of present problem was posed. The fundamental difference of this model is a consideration the criteria of inter-bay wiring and signal delay as local cost functions in the multicriteria optimization problem. In this paper a space of classification attributes of commutation circuit partitioning problems was designed: local cost functions, constraints, and initial data are defined. Data store and databank of ontology-based decision support system are presented as a CCP problems ontology and a problem-solving technique ontology. These domain ontologies were developed and visualized in Protégé 4.2.

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Acknowledgments

We thank collaborators of automated engineering system department for work results discussion. This research is provided by the Russian Foundation for Basic Research through grant #2.5537.2017/VU in Southern Federal University.

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Authors and Affiliations

  1. Institute of Computer Technologies and Information Security, Autonomous Federal State Institution of Higher Education «Southern Federal University», Taganrog, Russia

    Viktor Kureichik & Irina Safronenkova

Authors
  1. Viktor Kureichik
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  2. Irina Safronenkova
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Corresponding author

Correspondence to Irina Safronenkova .

Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla Kravets

  2. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  3. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova

  4. University of Patras, Patras, Greece

    Peter Groumpos

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Kureichik, V., Safronenkova, I. (2017). Ontology-Based Decision Support System for the Choice of Problem-Solving Procedure of Commutation Circuit Partitioning. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_34

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  • DOI: https://doi.org/10.1007/978-3-319-65551-2_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65550-5

  • Online ISBN: 978-3-319-65551-2

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