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An Overview of Practical Ontology Implementation in Decision Support Systems

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Cyber-Physical Systems and Control (CPS&C 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

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Abstract

Ontology has already a rather long history in the computer science. It helps to represent knowledge in the domain of interest and make it available both for humans and machines. For many years, ontologies were mostly considered as an object for academic research, but nowadays they are getting used in a growing number of applications. The suggested paper provides a brief overview of practical ontology implementation in decision support systems. Typical knowledge-intensive tasks were used to organize the overview: one example of a system was provided for each task.

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Acknowledgement

The work was supported by the Russian Foundation for Basic Research (#17-07-00228).

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Authors and Affiliations

  1. Graduate School of Management, St. Petersburg State University, 199004, Saint-Petersburg, Volkhovsky per., 3, Russia

    Dmitry Kudryavtsev & Tatiana Gavrilova

Authors
  1. Dmitry Kudryavtsev
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  2. Tatiana Gavrilova
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Corresponding author

Correspondence to Tatiana Gavrilova .

Editor information

Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Dmitry G. Arseniev

  2. Institute of Transport and Automation Technology, Leibniz Universität Hannover, Garbsen, Niedersachsen, Germany

    Ludger Overmeyer

  3. Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland

    Heikki Kälviäinen

  4. Institute of Production Engineering and Photonic Technologies, Vienna University of Technology, Vienna, Austria

    Branko Katalinić

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Kudryavtsev, D., Gavrilova, T. (2020). An Overview of Practical Ontology Implementation in Decision Support Systems. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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