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.

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.