A knowledge-based approach to the IoT-driven data integration of enterprises
Research output: Contribution to journal › Conference article › Scientific › peer-review
|Number of pages||7|
|Publication status||Published - 2019|
|Publication type||A1 Journal article-refereed|
|Event||Conference on Learning Factories - Braunschweig, Germany|
Duration: 26 Mar 2019 → 28 Mar 2019
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.