Title: Ontology-based data integration for the Internet of Things in a scientific software ecosystem

Authors: Jade Ferreira; José Maria N. David; Regina Braga; Fernanda Campos; Victor Ströele; Leonardo De Aguiar

Addresses: Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil ' Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil ' Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil ' Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil ' Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil ' Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil

Abstract: The Internet of Things (IoT) enables a smart observation of the environment, producing a large amount of heterogeneous data. On the one hand, it allows the remote collection of data, either providing a ready field data set compilation or serving as a secondary source of information to better analyse the research context. On the other hand, all the raw data generated by disparate sensors need to be integrated to leverage the power of IoT in scientific experiments. This paper proposes an ontology-based data integration architecture that allows data from different sources, formats, and semantics to be integrated and organised by a mediated ontology that provides knowledge inference. The architecture is thus evaluated as a use case testing in a scientific software ecosystem that supports all stages of the experiment life cycle.

Keywords: ontology; IoT; Internet of Things; data integration; scientific software ecosystem.

DOI: 10.1504/IJCAT.2021.121533

International Journal of Computer Applications in Technology, 2021 Vol.67 No.2/3, pp.252 - 262

Received: 19 Sep 2020
Accepted: 05 Jan 2021
Published online: 17 Mar 2022 *

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