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Recent Developments and New Directions in Soft Computing pp 35–51Cite as

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

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Part of the book series: Studies in Fuzziness and Soft Computing ((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.

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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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Authors and Affiliations

  1. Laboratory of Computer Aided Integrated Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia

    A. V. Smirnov, T. V. Levashova, N. G. Shilov & A. A. Krizhanovsky

  2. University ITMO, St. Petersburg, Russia

    A. V. Smirnov

Authors
  1. A. V. Smirnov
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  2. T. V. Levashova
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  3. N. G. Shilov
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  4. A. A. Krizhanovsky
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Corresponding author

Correspondence to A. V. Smirnov .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Minister of Communications and Information Technologies of the Republic of Azerbaijan, Baku, Azerbaijan

    Ali M. Abbasov

  3. Iona College, Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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© 2014 Springer International Publishing Switzerland

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Smirnov, A.V., Levashova, T.V., Shilov, N.G., Krizhanovsky, A.A. (2014). Knowledge Fusion in Context-Aware Decision Support: Ontology-Based Modeling and Patterns. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-06323-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-06323-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06322-5

  • Online ISBN: 978-3-319-06323-2

  • eBook Packages: EngineeringEngineering (R0)

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