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作 者:张金华 仇培元 邢华桥 冯永玉 ZHANG Jinhua;QIU Peiyuan;XING Huaqiao;FENG Yongyu(School of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan 250101,China;Shandong Geographical Institute of Land Spatial Data and Remote Sensing Technology,Jinan 250002,China)
机构地区:[1]山东建筑大学测绘地理信息学院,济南250101 [2]山东省国土空间数据和遥感技术研究院,济南250002
出 处:《时空信息学报》2024年第5期641-651,共11页JOURNAL OF SPATIO-TEMPORAL INFORMATION
基 金:山东省优秀青年基金项目(ZR2022YQ36);山东省高等学校“青创团队计划”项目(2022KJ201);山东省重点研发计划(软科学)项目(2024RKY0401);中国地震局地震科技星火计划项目(XH23007YA)。
摘 要:随着开放地理空间联盟(Open Geospatial Consortium,OGC)标准的广泛应用,各种地表覆盖处理服务不断涌现,在自然资源调查监测、生态保护修复和防灾减灾等领域发挥了重要的作用。地表覆盖处理服务具有典型的多源异构特点,信息碎片化严重,使得各处理服务之间难以建立有效关联,用户无法有效地获取个性化的处理服务资源。本文提出一种地表覆盖处理服务领域的知识图谱建模方法。首先,构建地表覆盖处理服务知识图谱概念框架;其次,抽取地表覆盖处理服务实体信息并分析服务实体之间的语义关系,构建地表覆盖处理服务知识图谱;最后,开发地表覆盖处理服务知识图谱原型系统,以济南市天桥区黄河流域信息提取为例,进行验证分析。结果表明,通过构建地表覆盖处理服务领域的知识图谱,可有效解决各处理服务之间缺乏关联和信息碎片化的问题,满足用户对服务的个性化选择需求。With the advancement of computer and network technologies,a with the advancement of computer and network technologies,a processing services has been published and However,due to the lack of effective correlation among these surface cover processing services,users often find it challenging to select a service that best meets their specific needs,thereby hindering the fulfillment of personalized service selection requirements.Knowledge graphs offer significant advantages in managing heterogeneous data from multiple sources by representing knowledge nodes and their semantic relationships in a structured manner,transitioning from data interconnection to knowledge interconnection.Employing knowledge graphs to semantically represent services,correlate service knowledge,and construct a networked service knowledge graph for surface coverage processing presents a viable approach to realizing personalized service demands.This paper employs semantic web technology and ontologies to standardize terms and concepts within service descriptions,utilizing a unified semantic model to describe services and thus address the issue of multi-source heterogeneity.Initially,domain knowledge pertaining to land cover treatment services is organized based on relevant literature,establishing a unified conceptual framework for describing treatment service knowledge.Subsequently,guided by this conceptual framework,a corresponding template wrapper is constructed to extract service attribute information,compute cosine similarities between service descriptions,analyze semantic relationships among service entities,and develop the service knowledge map for ground coverage processing.Finally,a prototype knowledge map system for land cover processing services is developed,enabling users to search for required services using keywords.Following the conceptual framework for land cover processing services,a Python-based template wrapper is created to extract attribute information from 1109 services.By calculating cosine similarities between service descr
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