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Context-Aware Knowledge Fusion for Decision Support

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Context-Enhanced Information Fusion

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

The purpose of this chapter is to investigate knowledge fusion processes with reference to context-aware decision support. Various knowledge fusion processes and their possible outcomes are analyzed. A context-aware decision support system for emergency management serves as a possible application in which knowledge fusion processes go on. This system provides fused outputs from different knowledge sources. It relies upon context model, which is the key to fuse information/knowledge and to generate useful decisions. The discussion is complemented by examples from a fire response scenario.

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Notes

  1. 1.

    The detailed description of the framework underlying the CADSS can be found in [50, 51].

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Acknowledgements

The present research was partly supported by the projects funded through grants 14-07-00345, 14-07-00378, 14-07-00427, 15-07-08092 (the Russian Foundation for Basic Research), the Project 213 of the Program 8 “Intelligent information technologies and systems” (the Russian Academy of Sciences (RAS)), the Project 2.2 of the basic research program “Intelligent information technologies, system analysis and automation” (the Nanotechnology and Information Technology Department of the RAS), and grant 074-U01 (the Government of the Russian Federation).

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Authors and Affiliations

  1. St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Line, St. Petersburg, 199178, Russian Federation

    Alexander Smirnov, Tatiana Levashova & Nikolay Shilov

  2. ITMO University, 49, Kronverkskiy pr., St. Petersburg, 197101, Russian Federation

    Alexander Smirnov

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  1. Alexander Smirnov
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  2. Tatiana Levashova
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Correspondence to Nikolay Shilov .

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Editors and Affiliations

  1. Department Mathematics and Computer Science, University of Udine, Udine, Italy

    Lauro Snidaro

  2. University Carlos III, Department of Computer Science and Engg. University Carlos III, Colmenarejo, Spain

    Jesús García

  3. Center Multisource Info. Fusion & Dept, Univ. at Buffalo, of Industrial and Engg Center Multisource Info. Fusion & Dept, Buffalo, New York, USA

    James Llinas

  4. Information Directorate, Air Force Research Laboratory Information Directorate, Rome, New York, USA

    Erik Blasch

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Smirnov, A., Levashova, T., Shilov, N. (2016). Context-Aware Knowledge Fusion for Decision Support. In: Snidaro, L., García, J., Llinas, J., Blasch, E. (eds) Context-Enhanced Information Fusion. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-28971-7_6

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