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

Mehdi Mahmoodpour, Andrei Lobov

Research output: Contribution to journalConference articleScientificpeer-review

7 Citations (Scopus)
71 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)283-289
Number of pages7
JournalProcedia Manufacturing
Publication statusPublished - 2019
Publication typeA1 Journal article-refereed
EventConference on Learning Factories - Braunschweig, Germany
Duration: 26 Mar 201928 Mar 2019


  • Internet of Things
  • Knowledge sharing
  • Learning factory
  • Ontology

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence


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