Knowledge Fusion in Context-Aware Decision Support: Ontology-Based Modeling and Patterns

  • A. V. Smirnov
  • T. V. Levashova
  • N. G. Shilov
  • A. A. Krizhanovsky
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 317)

Abstract

The purpose of this chapter is twofold: (1) introducing of a semantic modeling mechanism, which is applied to achieve context-based knowledge fusion in a decision support system and (2) discovery of context-based knowledge fusion patterns. An approach to ontology-based resource modeling is proposed. The set of resources comprises sources of data/information/knowledge, problem solving resources and various actors. The knowledge fusion patterns are generalized with regard to two aspects: (1) preserving internal structures of multiple sources from which information/knowledge is fused within the ontological structure of context and preserving internal structure of the context itself, and (2) preserving autonomies of the multiple sources and the context. Six knowledge fusion patterns have been discovered. They are simple fusion, inferred fusion, instantiated fusion, adapted fusion, flat fusion, and historical fusion.

Notes

Acknowledgment

The present research was supported partly by projects funded by grants 12-07-00298, 12-01-00481, 13-07-12095, 14-07-00345, 14-07-00427 of the Russian Foundation for Basic Research, the project 213 of the research program “Information, control, and intelligent technologies & systems” of the Russian Academy of Sciences (RAS), the project 2.2 of the Nano- and Information Technologies Branch of RAS, and grant 074-U01 of the Government of the Russian Federation.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • A. V. Smirnov
    • 1
    • 2
  • T. V. Levashova
    • 1
  • N. G. Shilov
    • 1
  • A. A. Krizhanovsky
    • 1
  1. 1.Laboratory of Computer Aided Integrated SystemsSt. Petersburg Institute for Informatics and Automation of the Russian Academy of SciencesSt. PetersburgRussia
  2. 2.University ITMOSt. PetersburgRussia

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