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Sustainable Interoperability and Data Integration for the IoT-Based Information Systems

Devices used in Internet of Things (IoT) technology are interconnected through internet and continuously send data for storage in disparate databases and files. This poses heterogeneity in data syntax and semantics. In the past few years, researches have been carried out to handle these problems in various information systems such as water and healthcare by applying semantic and syntactic uniformity. This research presents an Information and Communication Technology (ICT) framework to sustain the interoperability between stakeholders within an information system by applying Model Driven Software Development (MDSD) paradigm and ontology. The major contribution of this research is building software model which is annotated with semantic model to maintain the comprehension between the modelers and the programmers allowing sustainability by adapting to the changing environment. Moreover, the framework offers two types of semantic validation i.e. model and data of the documents to integrate sensor data which we claim as a novelty in this study. The validated IoT data is integrated through RESTful web service interface of SensorThings API. The aim of this paper is to apply the methodology of the framework, on IoT based healthcare system, that has been successful in water information system.