INSIDE: Semantic Interoperability in Engineering Data Integration

Vitor Almeida, Júlio Campos, Elvismary Molina de Armas, Geiza Hamazaki da Silva, Hugo Neves, Eduardo Corseuil, Fernando Gonzalez

2023

Abstract

One of the critical problems in the industry is data integration. Data is generated continuously and on a large scale and is persisted using different formats, software, and terminologies. Integrating multiple databases belonging to different information systems can provide a unified data view and a better understanding of the data. With that in mind, this paper present INSIDE, a system that enables Semantic Interoperability for Engineering Data Integration. INSIDE represents queries to one or multiple databases through the concept of data services, where each service is defined using an ontology. Data services can conceptually represent the commitments and claims between service providers (databases) and service customers (users) along with the service lifecycle (the process of querying, integrating, and delivering data). The contributions of this paper are the following: (1) Use of formal mechanisms for semantic data representation with the connection with the international community; (2) A conceptual model for a distributed system based on ontologies for querying and manipulating data from multiple data sources; (3) An implementation of this model, called INSIDE, developed on top of Apache Spark; and (4) An experimental evaluation of the service composition strategy of INSIDE for data integration of multiple data sources using a real-world scenario.

Paper Citation

in Harvard Style

Almeida V., Campos J., Molina de Armas E., Hamazaki da Silva G., Neves H., Corseuil E. and Gonzalez F. (2023). INSIDE: Semantic Interoperability in Engineering Data Integration. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 107-114. DOI: 10.5220/0011748700003467

in Bibtex Style

@conference{iceis23,
author={Vitor Almeida and Júlio Campos and Elvismary Molina de Armas and Geiza Hamazaki da Silva and Hugo Neves and Eduardo Corseuil and Fernando Gonzalez},
title={INSIDE: Semantic Interoperability in Engineering Data Integration},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={107-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011748700003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - INSIDE: Semantic Interoperability in Engineering Data Integration
SN - 978-989-758-648-4
AU - Almeida V.
AU - Campos J.
AU - Molina de Armas E.
AU - Hamazaki da Silva G.
AU - Neves H.
AU - Corseuil E.
AU - Gonzalez F.
PY - 2023
SP - 107
EP - 114
DO - 10.5220/0011748700003467
PB - SciTePress