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Ontology-driven diagnostic modeling

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Języki publikacji
EN
Abstrakty
EN
The paper presents a concept of diagnostic network models. This class of models consists of statement networks in which nodes represent statements concerning an object. The advantages of such models were enumerated and, in particular, their usefulness in collaborative research on knowledge acquisition was emphasized. Furthermore, not only the significance of dictionaries of statements contents, but also the purposefulness of supporting the development process of the models in question through definition of ontology referring to the studied objects was discussed.
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Tom
Strony
3--10
Opis fizyczny
Bibliogr. 9 poz.
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autor
  • Institute of Fundamentals of Machinery Design, Silesian University of Technology, 44-100 Gliwice, Konarskiego 18a, Poland
Bibliografia
  • [1] Korbicz J., Koscielny M., Kowalczuk Z., Cholewa W. (Eds.): Fault Diagnosis: Models, Artificial Intelligence, Applications. Springer-Verlag, Berlin Heidelberg 2004.
  • [2] Kacprzyk J., Pedrycz W., Eds.: Handbook of Computational Intelligence. Springer-Verlag, Berlin Heidelberg 2015.
  • [3] Cholewa W.: Dynamical statement network. In: Applied Non-Linear Dynamical Systems (J. Awrejcewicz, Ed.), Springer Proc. Mathematics Stat. 93(2014), 351–361.
  • [4] Atanassov K.T.: On Intuitionistic Fuzzy Sets Theory. Springer Verlag, 2012.
  • [5] Cholewa W.: Gradual forgetting operator in intuitionistic networks. In: Proc. 7th IEEE Int. Conf. Intelligent Systems IS’2014, Springer Advances in Intelligent Systems and Computing 322(2015), 613–620.
  • [6] Staab S., Studer R. (Eds.): Handbook on Ontologies. Springer-Verlag, Berlin Heidelberg 2009.
  • [7] Suarez-Figueroa M.C., Gomez-Perez A., Motta E., Gangemi A. (Eds.): Ontology Engineering in a NeNetwork World. Springer-Verlag, Berlin Heidelberg 2012.
  • [8] OWL 2 Web Ontology Language. Document Overview. W3C Recommendation. http://www.w3.org/TR/owl2-overview/ (accessed: 3 Nov. 2006).
  • [9] Protégé. A free, open-source ontology editor and framework for building intelligent systems. http://protege.stanford.edu (accessed: 14 Oct. 2016).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-d2b93d13-c2a1-4c55-b247-9efaa8155927
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