Research on self-driving tourism ontology from the perspective of information demands: A case study of the Shaanxi Yellow River tourism belt

Tourism ontology promotes the organization and sharing of information at the semantic level and it is of vital research value for self-driving tourism, which relies on information services. With the help of ontology thoughts, Maslow’s hierarchy of needs theory and knowledge graph theory, taking the Shaanxi Yellow River tourism belt as the research object, this research constructs a self-driving tourism ontology based on information needs from the bottom-up. The results of the study indicate: ① The pyramid of self-driving tourists’ information needs is divided into four levels from low to high: safety, traffic infrastructure, consumption and personalized information needs. ② The information needs of self-driving tourists in Shaanxi Yellow River tourism belt include six categories: tourism consumption, scenic spots, transportation along the routes, travel arrangements, self-driving travel infrastructure, weather and climate information. ③ Shaanxi Yellow River tourism belt self-driving tourism ontology consists of four layers, 6 secondary classes, 21 tertiary classes, 42 attributes, 7 kinds of relations, etc. are identified. Insights from the conclusion to enhance the construction of supporting facilities for self-driving tourism, upgrade the level of information services, intensify ecological protection, and build tourism scenic lanes along the Yellow River tourism belt, so as to provide a reference to boost the high-quality development of the Shaanxi Yellow River tourism.