Implementation of ontology based context-awareness framework for ubiquitous environment

The ontology has many merits, of which the most notable are the excellent extensibility, and high expression power. Thus, many systems in the Ubiquitous environment are developed using ontologies. Usually, ontologies are used for modeling context that the systems should collect and analyze. Also, they use only OWL and other ontology languages based on Description Logic, so can not properly handle rules expressed in Horn-Logic. We define the context-type for establishing a context model that is adequate for inference and learning services. Second, we develop the context model using OWL and SWRL[1]. SWRL is a rule language submitted by the W3C(World Wide Web Consortium), used for expressing rules. Finally, a framework is developed to handle context information with the developed ontology and learning algorithm, like the DT(Decision-Tree) or NN(Neural-Network).