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地理信息服务网络与协同研究进展EI北大核心CSCD
引用本文:吴华意,靳凤营,梁健源,张显源,邢华桥,桂志鹏,李锐,向隆刚. 地理信息服务网络与协同研究进展EI北大核心CSCD[J]. 测绘学报, 2022, 51(6): 1050-1061. DOI: 10.11947/j.AGCS.2022.20210338
作者姓名:吴华意  靳凤营  梁健源  张显源  邢华桥  桂志鹏  李锐  向隆刚
作者单位:1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430072;2. 山东建筑大学测绘地理信息学院, 山东 济南 250101
基金项目:国家自然科学基金(41930107)~~;
摘    要:互联网与大数据技术的高速发展为地理信息服务的互联共享与广泛应用提供了技术基础。面对资源海量、多源异构的地理信息服务,如何实现服务的有效组织并提供合理高效的服务组合,拓展地理信息服务的应用范围,满足更高层次的应用需求受到研究者的广泛关注。构建地理信息服务网络并通过语义实现服务协同,是一种可能的解决方案。本文分析了当前地理信息服务和地理信息服务网络研究的现状,依据服务网络领域的研究成果,从服务网络的表达和优化、服务协同的构建和优化两个方面探讨了基于网络构建的地理信息服务协同方法的发展潜力,进而提出了地理信息服务网络及协同面临的挑战与研究方向。

关 键 词:地理信息服务  服务网络  地理信息服务网络  服务协同
收稿时间:2021-06-15
修稿时间:2022-01-06

Research progress on geospatial service web and gollaboration
WU Huayi,JIN Fengying,LIANG Jianyuan,ZHANG Xianyuan,XING Huaqiao,GUI Zhipeng,LI Rui,XIANG Longgang. Research progress on geospatial service web and gollaboration[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1050-1061. DOI: 10.11947/j.AGCS.2022.20210338
Authors:WU Huayi  JIN Fengying  LIANG Jianyuan  ZHANG Xianyuan  XING Huaqiao  GUI Zhipeng  LI Rui  XIANG Longgang
Affiliation:1. State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China;2. School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan 250101, China
Abstract:The rapid development of the Internet and big data technology provided a technical foundation for the share and widespread use of the geospatial service (or GIService). Facing a large amount of multi-source, heterogeneous and massive geospatial services, it is a big challenge to organize these services and provide service compositions efficiently in order to expand the application scope, which has caught much attention of the scientists. Constructing the geospatial service web (GSW) and realizing semantics-based service collaboration is a potential solution to these issues. This paper analyzed the current development of the geospatial service and the GSW. Based on the achievements of the construction, expression, optimization, and service collaboration in the service network domain, we discussed several potential approaches of the GSW as well as GSW-based service collaboration. Finally, several technical challenges and research directions to construct GWS and service collaboration were proposed.
Keywords:
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