Context modeling and inference system for heterogeneous context aware service

Context can be utilized as an effective source of information for supporting the user system interface under the ubiquitous environments. The context awareness function forms the basis of the studies regarding the ubiquitous computing environment for creating numerous smart spaces, and a context awareness service is usually based on the context awareness system or middleware. However, conventional context modeling approaches based on ontology bear several problems. First, a context awareness service must share the context information with other context awareness services in the designing phase. Second problem is a context uncertainty, which can arise in the process of deducing the data acquired from the sensor into the context information based on the dynamic modification of the context ontology, must be resolved. This study proposes the context management system based on the dynamic context ontology management method, which involves the hierarchical context management method using common context and the paper proposes a method for resolving the context uncertainty problem of interpreting the data acquired from the sensors as two or more types of context information.