Active Linked Data for Human Centric Semantic Web of Things

Abstract

With the popularity of Internet of Things, the next logical step will focus on the application layer on top of network connectivity, especially Web of Things. While most of the existing efforts on Web of Things are focused on device mash up and data collection, in this paper a semantic web of things framework is proposed to leverage Semantic Web as the unified mechanism for monitoring, tasking, presentation, information flow and collaboration. Firstly, the requirements of human centric web of things application are described. Then the active linked data with data, task, context, computational organization, knowledge, presentation and interaction models is defined by extending the conventional linked data. Based on the active linked data models, we propose a semantic Web of Things framework, which leverages multiagent technologies to facilitate human-to-human and human-to-machine collaborations. Finally, a sample case on care coordination and ubiquitous health service roaming is given. This paper demonstrates how these technologies and architectures significantly enhance the capability of Web of Things for human centric applications.