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作 者:邢华桥 刘畅 王海航 张金华 XING Huaqiao;LIU Chang;WANG Haihang;ZHANG Jinhua(School of Surveying and Geo-informatics,Shandong Jianzhu University,Jinan 250101,China)
机构地区:[1]山东建筑大学测绘地理信息学院,济南250101
出 处:《时空信息学报》2023年第3期367-376,共10页JOURNAL OF SPATIO-TEMPORAL INFORMATION
基 金:山东省优秀青年基金(ZR2022YQ36);山东省高等学校“青创团队计划”(2022KJ201)。
摘 要:复杂网络已成为组织和管理海量服务资源的有力工具,并为优化服务组合提供理论基础。地表覆盖服务具有鲜明的领域特征,传统的复杂网络构建方法较少考虑先验知识的作用,难以表达地表覆盖服务节点间的真实连接关系。此外,当前服务复杂网络的研究大多针对无权网络,并不利于服务的精准推荐与组合。针对上述问题,本文提出了一个地表覆盖服务加权复杂网络模型。首先,定义了地表覆盖服务之间的连接关系与边权值计算方式;其次,提出了基于知识约束的地表覆盖服务加权复杂网络构建算法,通过服务连接关系和知识规则构建地表覆盖服务加权复杂网络;最后,以变化检测服务组合系统为例,验证了模型的有效性。研究表明,知识驱动的地表覆盖服务加权复杂网络构建方法可以优化服务复杂网络,并能够为地表覆盖服务组合提供有力支撑。With the development of big data and web service technologies,a large number of land cover web services(including data services and geoprocessing services)have been published on the open web environment.In actual,these land cover services typically exist in isolation without any interactions.To address complex land cover application scenarios,there is an urgent need to link multiple types and granularities of land cover services and provide on-demand land cover service chains in a collaborative environment.As an emerging modelling theory,complex networks have become powerful tools for organizing and managing massive service resources,particularly in the field of large-scale service composition.The organization of numerous surface-covered services by using complex network theory will facilitate intelligent service computing.Traditional research on service complex networks focuses on unweighted networks.In real cases of land cover services,the connecting edges cannot be simply expressed as interaction relationships between services.They should also include weighting information that indicates the closeness of connection between service nodes.This weighting information is crucial for service recommendation and composition.To address this challenge,this paper proposes a knowledge-driven weighted complex network construction method for land cover services and applies it to land cover service composition.The main contributions of this work are as follows:①The weighted complex network model for land cover services is proposed,which defines nodes,edge connectivity relationships,and the calculation of edge weights.②A knowledge-constraints-based weighted complex network construction method is proposed,and the service connectivity relationships and knowledge rules are optimized to generate the weighted complex network for land cover services.To velidate the proposed model,505 land cover web services were used to build weighted complex network.There services included 86 ArcGIS web services,148 OTB web services,201 GRASS
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