An Ontology-based Context Model in Intelligent Environments

Understand

Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments.

• Today, building context-aware systems is a complex task due to lack of an appropriate infrastructure support in intelligent environments.
• A context-aware infrastructure requires an appropriate context model to represent, manipulate and access context information.
• In this paper, we propose a formal context model based on ontology using OWL to address issues including semantic context representation, context reasoning and knowledge sharing, context classification, context dependency and quality of context.