Paper Info
Title
Ontology-based data integration for the Internet of Things in a scientific software ecosystem
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.
Year
DOI
Venue
2021
10.1504/IJCAT.2021.121533
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY
Keywords
DocType
Volume
ontology, IoT, Internet of Things, data integration, scientific software ecosystem
Journal
67
Issue
ISSN
Citations 
2-3
0952-8091
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jade Ferreira100.34
José Maria N. David23517.83
Regina Braga300.34
Fernanda Campos400.34
Victor Stroele500.34
Leonardo De Aguiar600.34