计算机技术与发展2024，Vol.34Issue(9)：55-62,8.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0174
面向社区便利性评估的多源地理信息知识图谱构建
Construction of Multi-source Geographic Information Knowledge Graph for Community Convenience Assessment
摘要
Abstract
Taking the geospatial data such as linear roads,planar communities and point service facilities in Hongqiao District of Tianjin in 2020 as experimental data sources,the geographic information knowledge map based on geospatial data and supplemented by Internet data is constructed to further demonstrate the types and number of expanded concepts and relationships in the geographic information knowledge map.Based on this foundation,we analyze the level of living convenience across all communities in Hongqiao District of Tianjin.The specific tasks include:resolving heterogeneous data with identical names;constructing a domain-specific geographic information knowledge map;achieving multi-source heterogeneous data fusion;utilizing the DE-9IM model with dimension extension to extract spatial relationships;calculating the density of service facilities through superposition analysis.Based on constraints imposed by geospatial data,POI(Point Of Interest)vector data for planar communities and integrated point-like service facilities in Hongqiao District of Tianjin in 2020 were selected for superposition analysis.The analysis was performed based on the density of various service fa-cilities within a 500-meter radius around each community.Simultaneously,the distribution density of different life service facilities was normalized to calculate the community convenience index.This index serves as an evaluation method for assessing community convenience objectively.It provides a basis for evaluating livability within cities and meeting residents'increasing demands for an improved quality of life.关键词
便利性评估/知识图谱/地理信息/空间关系/自然语言处理Key words
convenience assessment/knowledge graph/geographic information/spatial relationship/natural language processing分类
信息技术与安全科学引用本文复制引用
李月琳,李宁,杨光..面向社区便利性评估的多源地理信息知识图谱构建[J].计算机技术与发展,2024,34(9):55-62,8.基金项目
国家重点研发计划(2018YFB1004102) （2018YFB1004102）
