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作 者:陈铨 黄泽纯 徐柱 CHEN Quan;HUANG Zechun;XU Zhu(School of Geoscience and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;State-Province Joint Engineering Laboratory in Spatial Information Technology for High-Speed Railway Safety,Chengdu 611756,China)
机构地区:[1]西南交通大学地球科学与环境工程学院,四川成都611756 [2]高速铁路运营安全空间信息技术国家地方联合工程实验室,四川成都611756
出 处:《测绘与空间地理信息》2025年第3期34-37,共4页Geomatics & Spatial Information Technology
基 金:国家重点研发计划课题项目(2022YFB3904202)资助。
摘 要:传统空间数据库数据模式复杂,语义信息不明确,难以有效检索。本文提出了基于Ontop技术的语义化空间数据访问方法,首先基于本体对应用领域和地理空间进行概念建模;然后基于模式映射将空间数据库与本体进行关联;接着通过查询转换平台实现语义查询与智能推理;最后通过实例应用和效率分析验证该方法的可行性。该方法有效地扩展了地理空间数据库,使其具备语义化空间数据访问的能力,降低数据存储方式与查询语法规则对用户的干扰,提高了系统的检索效率与智能化程度。The traditional spatial database is difficult to retrieve effectively due to its complex data schema and unclear semantic definition.This paper proposes a semantic spatial data access method based on Ontop technology.Firstly,conceptual modeling of application domain and geographic space is carried out based on ontology;then the spatial database is associated with ontology based on schema mapping;and then semantic query and auto-reasoning are realized through the query transformation platform;Finally,the feasibility of the method is verified through example application and efficiency comparison analysis.This method effectively expands the geospatial database,enables it to have the ability to access semantic spatial data,reduces the interference of data storage methods and query language syntax,and improves the searching efficiency and intelligence of the system.
分 类 号:P209[天文地球—测绘科学与技术]
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