ABSTRACT
The semantic web of things (SWT) is useful for the remote-based automatic assessment of smart healthcare devices connected via the internet at each level. The SWT's interoperability across many platforms and systems based on the Internet of Things (IoT) represents a significant and highly complex challenge. However, various healthcare applications can result in tremendous benefits. Current SWT usage trends in IoT healthcare applications arc remote patient monitoring, drug delivery traceability, and patient diagnosis. However, the current technology does not address reusability and interoperability in SWT in IoT applications. To overcome the limitations of an existing system, an ontology-based modeling framework and an IoT-based semantic M2M platform arc proposed. This framework employs ontologies used in the IoT healthcare domain to design knowledge frameworks, 50automated sequencing, and processing and offer semantic descriptions of various concepts and their relationships. The SWRL rule addresses the issue of insufficient ontology expressivity in property association and operation to facilitate spatial connection reasoning. Using Protégé and its plug-ins, a system based on ontologies and rules was constructed. The proposed IoT-based SWT framework facilitates hospital device interoperability and semantic annotation. This chapter focuses on a collaborative approach to developing a unique framework for semantic interoperability in healthcare applications employing IoT.
