Iryna Zavuschak

Work place: Department of Information Systems and Networks, Lviv Polytechnic National University Lviv, 79013, Ukraine



Research Interests: Applied computer science, Theoretical Computer Science


Iryna Zavuschak - a PhD-student, assistant of the Department of Information Systems and Networks, Institute of Computer Science and Information Technologies, of Lviv Polytechnic National University. –°urrently working on dissertation and engaged in scientific work.

Author Articles
Methods of Processing Context in Intelligent Systems

By Iryna Zavuschak

DOI:, Pub. Date: 8 Mar. 2018

Context-based methods represent an important part of toolkit used to build intelligent systems. In the article existent definitions of context for a system with a single decision making agent were discussed. Available formal models for context data representation and processing were compared. The approaches for different forms of reasoning within context were analyzed. Also the application of context awareness in systems with situation awareness is discussed. In the article unresolved problems and tasks in the domain of context aware computing are delineated.

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The Context of Operations as the basis for the Construction of Ontologies of Employment Processes

By Iryna Zavuschak Yevhen Burov

DOI:, Pub. Date: 8 Nov. 2017

The growing tempo of changes in world’s economics emphasizes the ability of enterprise to adapt to changes in business environment as an important competitive advantage. Adaptive intelligent enterprises, which use knowledge models for adaptation, form basis of cognitive economics. Currently those intelligent enterprises are utilizing ontological modeling for knowledge representation. In this article, a method for building ontology based on analysis of context of business operations is proposed. The application of this method is described in detail using recruitment area business process as example. The developed method of ontology construction allows for continuous ontology modification and update and accentuates the analysis of implicit context information.

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