软件导刊2024，Vol.23Issue(5)：89-94,6.DOI:10.11907/rjdk.231936
基于自下而上与自上而下的轨迹知识图谱构建
Trajectory Knowledge Graph Construction from Bottom to Up and Top to Bottom
摘要
Abstract
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.关键词
轨迹数据/知识图谱/轨迹知识图谱/图数据库Key words
trajectory data/knowledge graph/trajectory knowledge graph/graph database分类
信息技术与安全科学引用本文复制引用
王菁菁,姜梦,克亚琳,潘晓..基于自下而上与自上而下的轨迹知识图谱构建[J].软件导刊,2024,23(5):89-94,6.基金项目
国家自然科学基金项目(42306218) （42306218）
河北省自然科学基金项目(F2021210005) （F2021210005）
河北省教育厅青年拔尖项目(BJ2021085) （BJ2021085）
河北省大学生创新创业训练项目(S202310107120) （S202310107120）
