Context-Aware Knowledge Fusion for Decision Support

  • Alexander Smirnov
  • Tatiana Levashova
  • Nikolay Shilov
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

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.

Keywords

Context-aware decision support Constraint-based ontology Information fusion model Knowledge fusion Emergency management Fire response 

Notes

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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Copyright information

© Springer International Publishing Switzerland (outside the USA) 2016

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 2
  • Tatiana Levashova
    • 1
  • Nikolay Shilov
    • 1
  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of SciencesSt. PetersburgRussian Federation
  2. 2.ITMO UniversitySt. PetersburgRussian Federation

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