ONTOLOGICAL MODELING OF SEMI-STRUCTURED SUBJECT DOMAIN WITH FUZZY LOGIC APPLICATION
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For citation: Gusarova N.F., Sysoeva V.V. Ontological modeling of semi-structured subject domain with fuzzy logic application. Scientific and Technical Journal of Information Technologies, Mechanics and Optics , 2017, vol. 17, no. 4, pp. 711–718 (in Russian). doi: 10.17586/2226-1494-2017-17-4-711-718
The paper deals with formation and analysis of the semi-structured subject domain with the use of ontological model and the study of fuzzy logic problems in this subject domain. The main classes and structural links of subject domain are formed, and ontology is realized in Protégé editor by hierarchical construction of entities. We give the examples of ontological model description by means of the OWL language and describe the access technology to ontology elements through the SPARQL queries language. Basic aspects of fuzzy logic are analyzed. Advantages of fuzzy logic application in ontology creation are listed including the membership function construction with the use of fuzzy modeling tool such as Fuzzy Logic Toolbox with respect to the processunder consideration. We form fuzzy inference system that gives the possibility to estimate a degree of membership for input and output variables to the process under consideration. Ontology for planning a ship repairing process is presented as an example, particularly, sub-process of document coordination. Proposed technology makes it possible to develop and analyze models with varying degree of accuracy in conditions of uncertainty.