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

Hussain, Ambreen and Wu, Wenyan (2017) Sustainable Interoperability and Data Integration for the IoT-Based Information Systems,. In: Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017 IEEE International Conference on. IEEE, pp. 824-829. ISBN 978-1-5386-3066-2

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Abstract

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 modellers 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.

Item Type: Book Section
Uncontrolled Keywords: Model Driven Software Development; Ontology; Healthcare systems; Semantic Validation; OGC SensorThings
Subjects: G500 Information Systems
H100 General Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Wenyan Wu
Date Deposited: 18 May 2018 14:56
Last Modified: 31 May 2018 10:54
URI: http://www.open-access.bcu.ac.uk/id/eprint/5694

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