A framework for context-awareness in artificial systems

This paper introduces a context model to be used in context-aware cognitive artificial systems. The framework, that is aimed at integrating ontology and logic approaches to context modeling, assumes the availability of both an ontology (i.e., a representation of what exists) and a simple inference schema (i.e., subsumption). The context model is defined using a formal protocol, which describes contexts and situations as recursive structures grounded with respect to the ontology. Examples are presented to discuss the proposed model.