A SOA and Knowledge-based Telemonitoring Framework: Design, Modeling, and Deployment

Weiping Zhang, Kerstin Thurow, Regina Stoll


Telemonitoring systems have proven to greatly reduce medical costs while improving the quality of medical care. Today, the main factors restricting the development and popularization of Telemonitoring systems include scalability and compatibility. The current sensor devices lack unified standards and deliver complicated data structures. This paper presents the design for an ontology-based context model, and related middleware, that provide a reusable and extensible application framework for Remote Healthcare and assistance at home. We define the semantic information to describe attributes of sensors, services and working procedures. Developers may rewrite the service definition to adapt to new requirements as needed.


telemonitoring; SOA; knowledge; modeling; ontology

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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