A Knowledge Graph_Assisted Hiking Route Recommendation Framework Based on VGI Data_A Case Study of Ninghai National Hiking Trail_Tian Yike, Wang Chaoqun, Ma Zhaoyi and He Jie

A Knowledge Graph-Assisted Hiking Route Recommendation Framework Based on VGI Data—A Case Study of Ninghai National Hiking Trail ABSTRACT The matching between recommended hiking routes and the actual needs of hikers significantly affects their hiking experience and satisfaction. Traditional homogeneous route recommendation methods overlook the differences in needs and preferences among individual users. Furthermore, the abundance of Volunteered Geographic Information(VGI) produced through the Internet and mobile devices contains rich information and insights that have not been fully utilized and explored. In response to these issues, this study proposes a method of knowledge graph-assisted hiking route recommendation based on VGI data. By collecting and processing the VGI data through methods such as stay point identification, trajectory segmentation and clustering, the data is integrated into a graph database consisting of attractions and routes, together with objective geographic information data, to construct the knowledge graph. Subsequently, Graph algorithms (GDS) are employed to recommend routes based on user input. The study conducted a practical application of the method on the Ninghai National Trail System, demonstrating that the route recommendation system based on knowledge graph effectively integrates objective geographic environments with subjective VGI data and other diverse information, thereby achieving thorough exploration of the information contained in VGI data and enhancing the accuracy and flexibility of personalized route recommendations. Keywords: Route recommendation, VGI data, Knowledge graph, Trajectory data, Hiking