Improved semantic application to perception and execution for Internet of Things
Han Zhang, Zhimin Shao, Jiejian Han, Yanheng Zhao, Tao Yang, Wei Wang · 2024
The Internet of Things is a rapidly growing field that promises to revolutionize how we interact with and control devices in our environment. As the number of Internet of Things devices increases, the need for efficient and intelligent ways to manage devices becomes increasingly important. However, the heterogeneity and scale of Internet of Things devices pose significant challenges to the effective integration and management. Semantic technology provide a solution by enabling devices to understand and interpret user intentions more accurately. In this study, an improved semantic model was designed based on related concepts and application of semantics in perception and execution for the Internet of Things. The proposed semantic frameworks was highlighted in enabling device-to-device communication and data aggregation, facilitating a holistic understanding of user needs. The importance of open standards and interoperability was also emphasized in realizing the full potential of semantic technology in the Internet of Things. The understanding and control of Internet of Things devices can be improved based on semantic technology, leading to more efficient and user-friendly systems.