K. S. Malakhov

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.

O. V. Palagin, K. S. Malakhov, V. Yu. Velychko et al.

The article describes information model and the method for searching patent analogs for Personal Research Information System.

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.

A. V. Palagin, N. G. Petrenko, K. S. Malakhov

The article describes the technique for designing a domain ontology, shows the flowchart of algorithm design and example of constructing a fragment of the ontology of the subject area of Computer Science is considered.

O. V. Palagin, K. S. Malakhov, V. Yu. Velichko et al.

Creation of the information systems and tools for scientific research and development support has always been one of the central directions of the development of computer science. The main features of the modern evolution of scientific research and development are the transdisciplinary approach and the deep intellectualisation of all stages of the life cycle of formulation and solution of scientific problems. The theoretical and practical aspects of the development of perspective complex knowledge-oriented information systems and their components are considered in the paper. The analysis of existing scientific information systems (or current research information systems, CRIS) and synthesis of general principles of design of the research and development workstation environment of a researcher and its components are carried out in the work. The functional components of knowledge-oriented information system research and development workstation environment of a researcher are designed. Designed and developed functional components of knowledge-oriented information system developing research and development workstation environment,including functional models and software implementation of the software subsystem for creation and use of ontological knowledge base for research fellow publications, as part of personalized knowledge base of scientific researcher. Research in modern conditions of e-Science paradigm requires pooling scientific community and intensive exchange of research results that may be achieved through the use of scientific information systems. research and development workstation environment allows to solve problems of contructivisation and formalisation of knowledge representation, obtained during the research process and collective accomplices interaction.

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

The paper describes the architecture of the intelligence system for automated design of ontological knowledge bases of domain areas and the software model of the management GUI (Graphical User Interface) subsystem

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

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.