Autors: Singh M., Mahmoud M., Stamatia R., Zaharis Z.D., Lazaridis P.I., Poulkov, V. K., Wu W.
Title: Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies
Keywords: 5G/6G data, data harmonization, interoperability, knowledge graph, QoE

Abstract: 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.

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Issue

2024 IEEE Conference on Advanced Topics on Measurement and Simulation, ATOMS 2024, pp. 291-294, 2025, Romania, https://doi.org/10.1109/ATOMS60779.2024.10921618

Copyright IEEE

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus