[1]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(09):55-62.[doi:10.20165/j.cnki.ISSN1673-629X.2024.0174]
　LI Yue-lin,LI Ning,YANG Guang.Construction of Multi-source Geographic Information Knowledge Graph for Community Convenience Assessment[J].,2024,34(09):55-62.[doi:10.20165/j.cnki.ISSN1673-629X.2024.0174]
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面向社区便利性评估的多源地理信息知识图谱构建()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
34
期数:
2024年09期
页码:
55-62
栏目:
媒体计算
出版日期:
2024-09-10

文章信息/Info

Title:
Construction of Multi-source Geographic Information Knowledge Graph for Community Convenience Assessment
文章编号:
1673-629X(2024)09-0055-08
作者:
李月琳1; 2; 李宁1; 2; 杨光3
1. 北京信息科技大学 计算机学院,北京 100020;2. 北京信息科技大学计算机开放系统实验室,北京 100020;3. 苍穹数码技术股份有限公司,北京 102600
Author(s):
LI Yue-lin1; 2; LI Ning1; 2; YANG Guang3
1. School of Computer Science,Beijing University of Information Science and Technology,Beijing 100020,China;2. Beijing University of Information Science and Technology Computer Open System Laboratory,Beijing 100020,China;3. Sky Digital Technology Co. ,Ltd. ,Beijing 102600,China
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
Keywords:
convenience assessment; knowledge graph; geographic information; spatial relationship; natural language processing
分类号:
TP391.1;P208
DOI:
10.20165/j.cnki.ISSN1673-629X.2024.0174
摘要:
以 2020 年天津市红桥区内线状道路、面状社区和点状服务设施等地理空间数据作为实验数据源,构建以地理空间数据为主、互联网数据为补充的地理信息知识图谱,进一步展示了地理信息知识图谱中扩充的概念和关系的类型与数目。在此基础上,对天津市红桥区内所有社区周边的生活便利性展开分析。 具体工作包括:清除异源同名数据,构建地理信息领域知识图谱,实现多源异构数据融合;采用基于维数扩展的 DE-9IM 模型提取空间关系;通过叠加分析计算服务设施密度。 在地理空间数据约束的基础上,选取 2020 年天津市红桥区内面状社区矢量数据和点状综合服务设施等 POI 数据,以社区周边 500 米范围圈内的各类服务设施的 POI 密度进行叠加分析,同时将计算得到的各种生活服务设施的分布密度进行归一化计算得出社区便利性指数,以此作为社区便利性的评价方法。 为客观评价社区生活便利性提供了依据,有助于宜居城市建设以及满足居民日益增长的对美好生活的需求。
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.

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更新日期/Last Update: 2024-09-10