Geodesic
Application of fuzzy knowledge base of the problem area in the problem of searching for architecturally similar software projects
Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 107-120.

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The paper describes the process of developing a fuzzy knowledge base (KB), the content of which is formed as a result of the analysis of the subject area (SA) context. To store the content of the KB in the form of an applied ontology graph database (DB) is used. Under the context is understood some interpretation of the SA and its features. The paper describes the developed approach to interface generation, which makes it possible to simplify the user's work with the KB. An attempt were made to implement the inference engine by contents of a graph database. An example of the application of ontology based on fuzzy knowledge base in the problem of searching architecturally similar solutions is given.
Keywords: knowledge base, subject area, applied ontology, inference engine, context. 
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     journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a},
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A. A. Filippov; V. S. Moshkin; G. Yu. Guskov; N. G. Yarushkina. Application of fuzzy knowledge base of the problem area in the problem of searching for architecturally similar software projects. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 12 (2017) no. 2, pp. 107-120. http://geodesic.mathdoc.fr/item/FSSC_2017_12_2_a2/

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