A Situation Knowledge Graph Construction Mechanism with Context-Aware Services for Smart Cockpit

With the continuous development of intelligence and network connectivity, the smart cockpit gradually transforms into a multifunctional value space. Smart devices are heterogeneous, massive, complex, and contextually dynamic, which makes the services provided by the system inaccurate. Introducing knowledge graphs in smart cockpit situations can meet users' needs in specific scenarios while delivering experiences that exceed expectations. This paper constructs a smart cockpit situation model with context, service, and user as the core elements, not only refining the context dimension but also incorporating context into the definition of service. Firstly, we analyze the elements that constitute the smart cockpit situation model and explore the connection between them. Secondly, a top-down approach is used to construct the smart cockpit situation ontology using the smart cockpit situation model as a guide. Finally, the smart cockpit situation model is instantiated to build a knowledge graph for fitness scenarios. The research results show that the coverage relationships between scenarios are inferred based on the coverage relationships between contexts. Furthermore, we verify the context can improve the accuracy of the service with a family travel scenario example. The situation knowledge graph constructed in this paper cannot only comprehensively describe the smart cockpit scene data, but also the service can adapt to the dynamic changes of contextual data.