Collaboration of Digital Twins Through Linked Open Data: Architecture With FIWARE as Enabling Technology

Autor: Joaquín Salvachúa, Javier Conde Díaz, ALVARO ALONSO GONZALEZ, Jose Andres Munoz Arcentales, GABRIEL HUECAS FERNANDEZ-TORIBIO
Rok vydání: 2022
Předmět:
Zdroj: IT Professional, 2022-11, Vol. 24, No. 6
ISSN: 1941-045X
1520-9202
DOI: 10.1109/mitp.2022.3224826
Popis: The collaboration of the real world and the virtual world, known as Digital Twin, has become a trend with numerous successful use cases. However, there are challenges mentioned in the literature that must be addressed. One of the most important issues is the difficulty of collaboration of Digital Twins due to the lack of standardization in their implementation. This article continues a previous work that proposed a generic architecture based on the FIWARE components to build Digital Twins in any field. Our work proposes the use of Linked Open Data as a mechanism to facilitate the communication of Digital Twins. We validate our proposal with a use case of an urban Digital Twin that collaborates with a parking Digital Twin. We conclude that Linked Open Data in combination with the FIWARE ecosystem is a real reference option to deploy Digital Twins and to enable the collaboration between Digital Twins.
Databáze: OpenAIRE