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Algebraic Framework for Knowledge Processing in Systems with Situational Awareness

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Advances in Intelligent Systems and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 512))

Abstract

Situation awareness is an important prerequisite of decision making in autonomous systems. Such systems are using information from sensors and formalized knowledge to assess situations and make decisions in dynamically changing environment. Situation awareness is studied as a part of information fusion process. Different models and methods were proposed for formalization and modeling of this process. This paper researches how the knowledge, represented by domain ontology, is used in information fusion. The unifying algebraic model, allowing the usage of different tools for situation awareness modeling, based of algebra of systems is proposed. The representation of situations and mapping between algebraic model and descriptive logic model was developed.

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Authors and Affiliations

  1. Lviv National Polytechnic University, Lviv, Ukraine

    Khrystyna Mykich & Yevhen Burov

Authors
  1. Khrystyna Mykich
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  2. Yevhen Burov
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Corresponding author

Correspondence to Yevhen Burov .

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Editors and Affiliations

  1. Lviv Polytechnic National University , Lviv, Ukraine

    Natalya Shakhovska

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Mykich, K., Burov, Y. (2017). Algebraic Framework for Knowledge Processing in Systems with Situational Awareness. In: Shakhovska, N. (eds) Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-45991-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-45991-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45990-5

  • Online ISBN: 978-3-319-45991-2

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