Modeling and reasoning in context-aware systems based on relational concept analysis and description logic

As we are moving towards pervasive, ubiquitous and computing paradigm, the interest and research for context-aware systems have substantially taken interest over the past decade and has become the new era of anytime, anywhere and anything computing. Delivering acceptable services for the users requires services to be aware of their contexts and able to adapt automatically to their changing contexts. Context modeling is an important part of a context life cycle to deal and represent context whereas awareness implies reasoning about the context. Each context modeling approach brings along a reasoning method. In this paper, we propose to model the context based on relational concept analysis, an extension of formal concept analysis, and employ the existing mapping rules between the source entity of relational concept analysis and the targeted element of description logic to obtain a FL-E knowledge base and be able to reason about context.