An Ontology-based Context Model in Smart Living Space

Abstract

An ontology-based approach to context modeling is proposed to assist the development of context-aware applications in smart living space. In the proposed approach, the ontology-based context model is employed to collect, aggregate, store, share and reason the useful context information. Besides, to overcome the problems caused by the uncertain context information, such as inaccurate reasoning, a context quality model is also proposed to evaluate the credible degree of the collected context information. In the context quality model, a context quality metric is introduced to solve this problem and ensure the quality assurance of context information. The feasibility and effectiveness of the proposed models are verified through the implementation of a context-aware application in smart living space.