Trajectory Knowledge Graph Construction from Bottom to Up and Top to Bottom
As time series data,trajectories contain both temporal and spatial information of trajectory points.In addition,the road network structure and weather conditions as auxiliary factors can also have an impact on the analysis of trajectory data.In order to organize and inte-grate these multi-source heterogeneous data to achieve analysis and mining of trajectory data,this article constructs the trajectory knowledge graphs.The bottom-up and top-down methods are adopted to integrate trajectory data and auxiliary data.The trajectory knowledge graph con-structed by the two methods are saved in the graph database,facilitating subsequent data extraction and application.The knowledge graph con-structed from bottom to top is a star shape;while we propose four spatial ontologies to construct the trajectory knowledge graph from top to bot-tom,which can effectively reflect trajectory spatial information and driving semantics.
国家科技期刊平台
NSTL
万方数据
