Semantic Annotation of Web of Things Using Entity Linking
Ismail Nadim,
Yassine El Ghayam and
Abdelalim Sadiq
Additional contact information
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
International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 4, 1-13
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.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jban00:v:7:y:2020:i:4:p:1-13
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