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SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data

Author

Listed:
  • Maliheh Haghgoo

    (E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany)

  • Amirhossein Nazary Aghche Mazary

    (E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany)

  • Antonello Monti

    (E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustraße 10, 52074 Aachen, Germany)

Abstract

In a modern smart energy system, the amount of available data from various sources is growing significantly. Other sectors such as medical or social sectors exhibit the same phenomenon. Due to the amount, complexity and heterogeneity of data, a complex algorithm is required for the integration and analysis of heterogeneous data sources. The Web of Things and semantic-based approaches address the fragmentation of standards, platforms, services and technologies in smart energy and non-energy sectors, and enable heterogeneous data integration and interoperability. This paper presents SiSEG, a semantic annotation service that is developed to automate the process of annotating data and address the problem of heterogeneous data integration in a reusable and extensible way by using the fuzzy method. Moreover, the accuracy of SiGEG has been evaluated.

Suggested Citation

  • Maliheh Haghgoo & Amirhossein Nazary Aghche Mazary & Antonello Monti, 2022. "SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data," Energies, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1428-:d:750318
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    References listed on IDEAS

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    1. August Wierling & Valeria Jana Schwanitz & Sebnem Altinci & Maria Bałazińska & Michael J. Barber & Mehmet Efe Biresselioglu & Christopher Burger-Scheidlin & Massimo Celino & Muhittin Hakan Demir & Ric, 2021. "FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance," Energies, MDPI, vol. 14(20), pages 1-20, October.
    2. Prahlada, 2013. "Managing Technologies for Defense," Springer Books, in: K.B. Akhilesh (ed.), Emerging Dimensions of Technology Management, edition 127, pages 177-184, Springer.
    3. Ismail Nadim & Yassine El Ghayam & Abdelalim Sadiq, 2020. "Semantic Annotation of Web of Things Using Entity Linking," International Journal of Business Analytics (IJBAN), IGI Global, vol. 7(4), pages 1-13, October.
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