A Context Ontology Modeling and Uncertain Reasoning Approach Based on Certainty Factor for Context-Aware Computing

摘要

Context-aware computing is an emerging intelligent computing model. Its core idea is to have computing devices understand the real world and automatically provide appropriate services without much concern from users. The research on context modeling and reasoning approaches is the important content of realizing context-aware computing. In this paper, an ontology modeling approach based on certainty factor is proposed in order to not only share and structurally represent context information but also to support the uncertain reasoning by the uncertainty representation for the domain knowledge. Then a certainty factor reasoning approach based on weights is presented to deal with the uncertain context and at last we give a case on the home health telemonitoring application to show the feasibility and validity of the proposed approach.