A Linked Data-based Service for Integrating Heterogeneous Data Sources in Smart Cities

João Almeida, Jorge Silva, Thais Batista, Everton Cavalcante

2020

Abstract

The evolution and development of new technological solutions for smart cities has significantly grown in recent years. The smart city scenario encompasses larges amount of data from several devices and applications. This raises challenges related to data interoperability, including information sharing, receiving data from multiple sources (Web services, files, systems, etc.), and making them available at underlying smart city application development platforms. This paper presents Aquedücte, a service that converts data from external sources and files to the NGSI-LD protocol, enabling their use by applications relying on an NGSI-LD-based middleware. This paper describes the Aquedücte methodology used to: (i) extract data from heterogeneous data sources, (ii) enrich them according to the NGSI-LD data format using Linked Data along with ontologies, and (iii) publish them into an NSGI-LD-based middleware. The use of Aquedücte is also described in a real-world smart city scenario.

Paper Citation

in Harvard Style

Almeida J., Silva J., Batista T. and Cavalcante E. (2020). A Linked Data-based Service for Integrating Heterogeneous Data Sources in Smart Cities.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 205-212. DOI: 10.5220/0009422802050212

in Bibtex Style

@conference{iceis20,
author={João Almeida and Jorge Silva and Thais Batista and Everton Cavalcante},
title={A Linked Data-based Service for Integrating Heterogeneous Data Sources in Smart Cities},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={205-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009422802050212},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Linked Data-based Service for Integrating Heterogeneous Data Sources in Smart Cities
SN - 978-989-758-423-7
AU - Almeida J.
AU - Silva J.
AU - Batista T.
AU - Cavalcante E.
PY - 2020
SP - 205
EP - 212
DO - 10.5220/0009422802050212