Telecommunication systems utilize several mechanisms to collect data from 5G/6G-enabled IoT. In the 5G/6G community, various AI techniques and tools are applied to 5G/6G data to monitor, predict, and make decisions. Therefore, 5G/6G data must be interoperable for monitoring, prediction, and decision support systems. However, 5G/6G data are typically mapped in local data models for local applications, which poses challenges to using them in different or cross-domain applications due to a lack of interoperability issues. In this paper, we propose an approach to support and enhance the interoperability of 5G/6G data through NLP and Semantic Web technologies to achieve 5G/6G data harmonization.

Mandeep Singh; Moatasim Mahmoud; Rizou Stamatia; Zaharias D. Zaharis; Pavlos I. Lazaridis; Vladimir K. Poulkov

2024 Advanced Topics on Measurement and Simulation (ATOMS)

https://ieeexplore.ieee.org/abstract/document/10921618

5G/6G data; QoE; interoperability; data harmonization; knowledge graph