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A knowledge-based approach to the IoT-driven data integration of enterprises

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A knowledge-based approach to the IoT-driven data integration of enterprises. / Mahmoodpour, Mehdi; Lobov, Andrei.

julkaisussa: Procedia Manufacturing, Vuosikerta 31, 2019, s. 283-289.

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Harvard

Mahmoodpour, M & Lobov, A 2019, 'A knowledge-based approach to the IoT-driven data integration of enterprises', Procedia Manufacturing, Vuosikerta. 31, Sivut 283-289. https://doi.org/10.1016/j.promfg.2019.03.045

APA

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Author

Mahmoodpour, Mehdi ; Lobov, Andrei. / A knowledge-based approach to the IoT-driven data integration of enterprises. Julkaisussa: Procedia Manufacturing. 2019 ; Vuosikerta 31. Sivut 283-289.

Bibtex - Lataa

@article{dcd2b9f8bbda4100bd8d5935f959af3c,
title = "A knowledge-based approach to the IoT-driven data integration of enterprises",
abstract = "Internet of Things (IoT) as a state-of-the-art technology has introduced businesses to new possibilities, thus allowing them to increase the efficiency and productivity of operational processes. Furthermore, the experiences gained by the employees of an organization can be shared among multiple corporations to facilitate the educational processes for employees through establishing learning environments within their businesses. In this study, we discuss the opportunities that IoT offers to businesses to integrate and share the massive amount of data generated by learning factories in enterprises as well as ongoing challenges in this domain. We further present the design and implementation of an ontology-based architecture for the development of IoT solution facilitating the collaborative business-to-business (B2B) knowledge sharing among enterprises to be used in their learning factory environments for educational matters. The proposed solution in this paper allows organizations to pursue their didactic purposes through the creation of an effective learning environment.",
keywords = "Internet of Things, Knowledge sharing, Learning factory, Ontology",
author = "Mehdi Mahmoodpour and Andrei Lobov",
year = "2019",
doi = "10.1016/j.promfg.2019.03.045",
language = "English",
volume = "31",
pages = "283--289",
journal = "Procedia Manufacturing",
issn = "2351-9789",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - A knowledge-based approach to the IoT-driven data integration of enterprises

AU - Mahmoodpour, Mehdi

AU - Lobov, Andrei

PY - 2019

Y1 - 2019

N2 - Internet of Things (IoT) as a state-of-the-art technology has introduced businesses to new possibilities, thus allowing them to increase the efficiency and productivity of operational processes. Furthermore, the experiences gained by the employees of an organization can be shared among multiple corporations to facilitate the educational processes for employees through establishing learning environments within their businesses. In this study, we discuss the opportunities that IoT offers to businesses to integrate and share the massive amount of data generated by learning factories in enterprises as well as ongoing challenges in this domain. We further present the design and implementation of an ontology-based architecture for the development of IoT solution facilitating the collaborative business-to-business (B2B) knowledge sharing among enterprises to be used in their learning factory environments for educational matters. The proposed solution in this paper allows organizations to pursue their didactic purposes through the creation of an effective learning environment.

AB - Internet of Things (IoT) as a state-of-the-art technology has introduced businesses to new possibilities, thus allowing them to increase the efficiency and productivity of operational processes. Furthermore, the experiences gained by the employees of an organization can be shared among multiple corporations to facilitate the educational processes for employees through establishing learning environments within their businesses. In this study, we discuss the opportunities that IoT offers to businesses to integrate and share the massive amount of data generated by learning factories in enterprises as well as ongoing challenges in this domain. We further present the design and implementation of an ontology-based architecture for the development of IoT solution facilitating the collaborative business-to-business (B2B) knowledge sharing among enterprises to be used in their learning factory environments for educational matters. The proposed solution in this paper allows organizations to pursue their didactic purposes through the creation of an effective learning environment.

KW - Internet of Things

KW - Knowledge sharing

KW - Learning factory

KW - Ontology

U2 - 10.1016/j.promfg.2019.03.045

DO - 10.1016/j.promfg.2019.03.045

M3 - Conference article

VL - 31

SP - 283

EP - 289

JO - Procedia Manufacturing

JF - Procedia Manufacturing

SN - 2351-9789

ER -