An ontology structure for semantic sensing information representation in healthcare services

Abstract

There should convert sensing data to semantic and context information for supporting customized healthcare services. Therefore, ontology and rules were used for semantic representation of many sensing data. In this paper, we propose an ontology structure for semantic sensor information and reasoning based on a context-aware which is executed using EEG (Electroencephalogram), MRI (Magnetic Resonance Imaging), pill camera and temperature sensors for customized healthcare services. This paper presents rules and the semantic sensing information representation for customized healthcare services. An ontology structure for semantic sensor information was also developed in order to recognize a situation and provide a customized healthcare service for patients. © 2011 Springer-Verlag.