Multi-viewpoint Ontologies for Decision-Making Support

  • Sergey Gorshkov
  • Stanislav Kralin
  • Maxim Miroshnichenko
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 649)

Abstract

Considering multiple viewpoints is often required when building ontologies for decision-making support systems. The notion of subjective context is useful for designing such a systems. We review the evolution of the subjectivity representation in the knowledge engineering, then choose an appropriate definition of the context for our application. This allows formulating the functional requirements for a multi-viewpoint decision-making support system and choosing the technical way of context representation. We propose a method of ontological representation of multiple viewpoints using named graphs as a response to these requirements. Decision-making support in the socio-economic realms is an especially valuable application for multi-viewpoint ontologies. We consider a demonstration use case, including software implementation. The inference rules may be used in such applications both for making conclusions within every particular context, or transferring knowledge between them. We present a set of sample rules for our demonstration use case and discuss the results achieved.

Keywords

Multi-viewpoint ontology Decision making support Context modeling 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sergey Gorshkov
    • 1
  • Stanislav Kralin
    • 2
  • Maxim Miroshnichenko
    • 1
  1. 1.TriniDataEkaterinburgRussia
  2. 2.EkaterinburgRussia

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