A Semantic Collaboration Method Based on Uniform Knowledge Graph

The Semantic Internet of Things is the extension
of the Internet of Things and the Semantic Web, which aims
to build an interoperable collaborative system to solve the
heterogeneous problems in the Internet of Things. However, the
Semantic Internet of Things has the characteristics of both the
Internet of Things and the Semantic Web environment, and the
corresponding semantic data presents many new data features.
In this study, we analyze the characteristics of semantic data and propose the concept of a uniform knowledge graph, allowing us to be applied to the environment of the Semantic Internet of Things better. Here, we design a semantic collaboration method based on a uniform knowledge graph. It can take the uniform knowledge graph as the form of knowledge organization and representation, and provide a useful data basis for semantic collaboration by constructing semantic links to complete semantic relation between different data sets, to achieve the semantic collaboration in the Semantic Internet of Things. Our experiments show that the proposed method can analyze and understand the semantics of user requirements better and provide more satisfactory outcomes.