TY - GEN
T1 - Privacy-preserving Sharing of Industrial Maintenance Reports in Industry 4.0
AU - Hossayni, Hicham
AU - Khan, Imran
AU - Crespi, Noel
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Knowledge sharing has proven its worth in many domains as an enabler for optimized processes and improved organizational agility. It makes problem-solving and decision-making much faster for the stakeholders. Knowledge sharing has also proven its effectiveness in the industrial maintenance domain as a key vector for the improvement of maintenance processes, that are still dominated by traditional practices. However, sensitive data disclosure remains one of the major roadblocks that prevent this trend from gaining ground in the manufacturing industry. In this paper, we present a new approach to provide remedies for sensitive data disclosure problems during the knowledge sharing activity. Relying on the semantic web, rule-based, and natural language processing techniques, our approach helps to detect and identify the potentially sensitive data in maintenance reports before being shared with other actors.
AB - Knowledge sharing has proven its worth in many domains as an enabler for optimized processes and improved organizational agility. It makes problem-solving and decision-making much faster for the stakeholders. Knowledge sharing has also proven its effectiveness in the industrial maintenance domain as a key vector for the improvement of maintenance processes, that are still dominated by traditional practices. However, sensitive data disclosure remains one of the major roadblocks that prevent this trend from gaining ground in the manufacturing industry. In this paper, we present a new approach to provide remedies for sensitive data disclosure problems during the knowledge sharing activity. Relying on the semantic web, rule-based, and natural language processing techniques, our approach helps to detect and identify the potentially sensitive data in maintenance reports before being shared with other actors.
KW - Industrial maintenance
KW - Knowledge sharing
KW - Natural Language Processing
KW - Semantic web
KW - Sensitive data disclosure
U2 - 10.1109/AIKE52691.2021.00009
DO - 10.1109/AIKE52691.2021.00009
M3 - Conference contribution
AN - SCOPUS:85127700628
T3 - Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021
SP - 17
EP - 24
BT - Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021
Y2 - 1 December 2021 through 3 December 2021
ER -