The Semantic Web of Things (SWoT) paradigm boosts IoT system interoperability and intelligence. In this survey, we analyze SWoT, including important ideas, Semantic Web technologies in IoT, ontologies, alignment problems, benefits of integrating Semantic Web technologies, applications, use cases, and obstacles. The study shows how SWoT has been effectively deployed through use cases, bringing researchers and practitioners useful lessons and experiences. The study also covers SWoT difficulties including scalability, security, privacy, knowledge representation, and semantic reasoning, emphasizing the need for future research and development. Finally, SWoT difficulties include scalability, security, privacy, knowledge representation, and semantic reasoning. The report highlights the need for more research and development to overcome these difficulties.

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Amalgamation of Semantic Web with IoT: Semantic Web of Things (SWoT)

  • Gaurav Jaglan,
  • Aman Jolly,
  • Indrasen Singh,
  • Vikas Pandey,
  • Shashikant

摘要

The Semantic Web of Things (SWoT) paradigm boosts IoT system interoperability and intelligence. In this survey, we analyze SWoT, including important ideas, Semantic Web technologies in IoT, ontologies, alignment problems, benefits of integrating Semantic Web technologies, applications, use cases, and obstacles. The study shows how SWoT has been effectively deployed through use cases, bringing researchers and practitioners useful lessons and experiences. The study also covers SWoT difficulties including scalability, security, privacy, knowledge representation, and semantic reasoning, emphasizing the need for future research and development. Finally, SWoT difficulties include scalability, security, privacy, knowledge representation, and semantic reasoning. The report highlights the need for more research and development to overcome these difficulties.