V. Yu. Velychko

AI
6papers
30citations
Novelty16%
AI Score14

6 Papers

SEMar 24, 2018
Development of formal models, algorithms, procedures, engineering and functioning of the software system "Instrumental complex for ontological engineering purpose"

A. V. Palagin, N. G. Petrenko, V. Yu. Velychko et al.

The given paper considered a generalized model representation of the software system "Instrumental complex for ontological engineering purpose". Represented complete software system development process. Developed relevant formal models of the software system "Instrumental complex for ontological engineering purpose", represented as mathematical expressions, UML diagrams, and also described the three-tier architecture of the software system "Instrumental complex for ontological engineering purpose" in a client-server environment.

AIFeb 19, 2018
Integrated Tools for Engineering Ontologies

V. Yu. Velychko, K. S. Malakhov, V. V. Semenkov et al.

The article presents an overview of current specialized ontology engineering tools, as well as texts' annotation tools based on ontologies. The main functions and features of these tools, their advantages and disadvantages are discussed. A systematic comparative analysis of means for engineering ontologies is presented.

AIFeb 13, 2018
Principles of design and software development models of ontological-driven computer systems

A. V. Palagin, N. G. Petrenko, V. Yu. Velychko et al.

This paper describes the design principles of methodology of knowledge-oriented information systems based on ontological approach. Such systems implement technology subject-oriented extraction of knowledge from the set of natural language texts and their formal and logical presentation and application processing

AIFeb 10, 2018
To the problem of "The Instrumental complex for ontological engineering purpose" software system design

A. V. Palagin, N. G. Petrenko, V. Yu. Velychko et al.

The given work describes methodological principles of design instrumental complex of ontological purpose. Instrumental complex intends for the implementation of the integrated information technologies automated build of domain ontologies. Results focus on enhancing the effectiveness of the automatic analysis and understanding of natural-language texts, building of knowledge description of subject areas (primarily in the area of science and technology) and for interdisciplinary research in conjunction with the solution of complex problems.