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Semantic Annotation of Web of Things Using Entity Linking

Author

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  • Ismail Nadim

    (Ibn Tofail University, Faculty of Sciences, Kenitra, Morocco)

  • Yassine El Ghayam

    (SMARTiLab, EMSI Rabat Honoris Universities, Morocco)

  • Abdelalim Sadiq

    (Ibn Tofail University, Faculty of Sciences, Kenitra, Morocco)

Abstract

The web of things (WoT) improves syntactic interoperability between internet of things (IoT) devices by leveraging web standards. However, the lack of a unified WoT data model remains a challenge for the semantic interoperability. Fortunately, semantic web technologies are taking this challenge over by offering numerous semantic vocabularies like the semantic sensor networks (SSN) ontology. Although it enables the semantic interoperability between heterogeneous devices, the manual annotation hinders the scalability of the WoT. As a result, the automation of the semantic annotation of WoT devices becomes a prior issue for researchers. This paper proposes a method to improve the semi-automatic semantic annotation of web of things (WoT) using the entity linking task and the well-known ontologies, mainly the SSN.

Suggested Citation

  • 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.
    • Handle: RePEc:igg:jban00:v:7:y:2020:i:4:p:1-13
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    Cited by:

    1. 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.

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