Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies

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

doi:10.1109/ATOMS60779.2024.10921618

Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2024 IEEE Conference on Advanced Topics on Measurement and Simulation
Subtitle of host publication	ATOMS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	291-294
Number of pages	4
ISBN (Electronic)	9798350358377
ISBN (Print)	9798350358384
DOIs	https://doi.org/10.1109/ATOMS60779.2024.10921618
Publication status	Published - 19 Mar 2025
Event	2024 IEEE Conference on Advanced Topics on Measurement and Simulation - Constanta, Romania Duration: 28 Aug 2024 → 30 Aug 2024

Conference

Conference	2024 IEEE Conference on Advanced Topics on Measurement and Simulation
Abbreviated title	ATOMS 2024
Country/Territory	Romania
City	Constanta
Period	28/08/24 → 30/08/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

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10.1109/ATOMS60779.2024.10921618Licence: Unspecified

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Singh, M., Mahmoud, M., Stamatia, R., Zaharis, Z. D., Lazaridis, P. I., Poulkov, V. K., & Wu, W. (2025). Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies. In 2024 IEEE Conference on Advanced Topics on Measurement and Simulation: ATOMS 2024 (pp. 291-294). Article 10921618 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ATOMS60779.2024.10921618

@inproceedings{36cbb9ea2ee64220bc3ef35fcf4a0a94,

title = "Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies",

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.",

keywords = "5G/6G data, data harmonization, interoperability, knowledge graph, QoE",

author = "Mandeep Singh and Moatasim Mahmoud and Rizou Stamatia and Zaharis, \{Zaharias D.\} and Lazaridis, \{Pavlos I.\} and Poulkov, \{Vladimir K.\} and Wenyan Wu",

note = "Funding Information: This research was supported by the European Union through the Horizon 2020 Marie Sklodowska-Curie Research and Innovation Staff Exchange Programme \textbackslash{}{"}Research Col-laboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)\textbackslash{}{"} under Grant no. 872857. This work is financed by the European UnionNextGenerationEU through the National Recovery and Resilience Plan of the Re?public of Bulgaria, BG-RRP-2.005 -\textbackslash{}{"}Twinning\textbackslash{}{"} with Project No. BG-RRP-2.005-002 titled \textbackslash{}{"}Twinning for Excellence in Research in Sustainable Future Communication Networks in the Context of a Green Economy GREENBEAT\textbackslash{}{"}. Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Conference on Advanced Topics on Measurement and Simulation, ATOMS 2024 ; Conference date: 28-08-2024 Through 30-08-2024",

year = "2025",

month = mar,

day = "19",

doi = "10.1109/ATOMS60779.2024.10921618",

language = "English",

isbn = "9798350358384",

pages = "291--294",

booktitle = "2024 IEEE Conference on Advanced Topics on Measurement and Simulation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Singh, M, Mahmoud, M, Stamatia, R, Zaharis, ZD, Lazaridis, PI, Poulkov, VK & Wu, W 2025, Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies. in 2024 IEEE Conference on Advanced Topics on Measurement and Simulation: ATOMS 2024., 10921618, Institute of Electrical and Electronics Engineers Inc., pp. 291-294, 2024 IEEE Conference on Advanced Topics on Measurement and Simulation, Constanta, Romania, 28/08/24. https://doi.org/10.1109/ATOMS60779.2024.10921618

Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies. / Singh, Mandeep; Mahmoud, Moatasim; Stamatia, Rizou et al.
2024 IEEE Conference on Advanced Topics on Measurement and Simulation: ATOMS 2024. Institute of Electrical and Electronics Engineers Inc., 2025. p. 291-294 10921618.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies

AU - Singh, Mandeep

AU - Mahmoud, Moatasim

AU - Stamatia, Rizou

AU - Zaharis, Zaharias D.

AU - Lazaridis, Pavlos I.

AU - Poulkov, Vladimir K.

AU - Wu, Wenyan

N1 - Funding Information: This research was supported by the European Union through the Horizon 2020 Marie Sklodowska-Curie Research and Innovation Staff Exchange Programme \"Research Col-laboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)\" under Grant no. 872857. This work is financed by the European UnionNextGenerationEU through the National Recovery and Resilience Plan of the Re?public of Bulgaria, BG-RRP-2.005 -\"Twinning\" with Project No. BG-RRP-2.005-002 titled \"Twinning for Excellence in Research in Sustainable Future Communication Networks in the Context of a Green Economy GREENBEAT\". Publisher Copyright: © 2024 IEEE.

PY - 2025/3/19

Y1 - 2025/3/19

N2 - 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.

AB - 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.

KW - 5G/6G data

KW - data harmonization

KW - interoperability

KW - knowledge graph

KW - QoE

UR - https://www.scopus.com/pages/publications/105001918763

U2 - 10.1109/ATOMS60779.2024.10921618

DO - 10.1109/ATOMS60779.2024.10921618

M3 - Conference contribution

AN - SCOPUS:105001918763

SN - 9798350358384

SP - 291

EP - 294

BT - 2024 IEEE Conference on Advanced Topics on Measurement and Simulation

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE Conference on Advanced Topics on Measurement and Simulation

Y2 - 28 August 2024 through 30 August 2024

ER -

Towards 5G/6G Data Harmonization through NLP and Semantic Web Technologies

Abstract

Conference

UN SDGs

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