共查询到20条相似文献，搜索用时 656 毫秒
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基于Web Services的地理模型分布式共享方法 总被引：1，自引：0，他引：1
设计了地理模型的语义表达方法,提出了基于Web Services的地理模型分布式共享方案.定义了地理模型服务及其发布、查找和重用的体系结构,设计了地理模型服务的功能体系.最后,构建地理模型共享门户作为验证平台.实验表明,基于Web Services的地理模型分布式共享方案可以实现网络环境下异构地理模型的有效利用和充分共享. 相似文献
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针对当前网络环境下三维GIS在拓扑关系的建立与表达、地学数据共享和互操作方面存在的不足,该文提出了一种网络环境下的三维实体拓扑关系构建方法。以关系数据模型来表达点、线、面、体及复杂体5类拓扑元素间的拓扑关系,结合插件式虚拟现实技术,在分布式结构下建立真三维实体的网络发布平台,并实现了三维模型的可视化和三维空间实体拓扑关系的查询。研究表明,该方法能根据三维空间拓扑关系快速重建地理实体,为三维空间数据的交互和共享、网络环境下的真三维空间分析提供新的方案。 相似文献
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分建共享是空间数据在逻辑上集中式管理、物理上分布式存储,各专业部门各自管理和维护各自的数据,通过Web服务调用的方式实现异构空间数据库的互操作,进而实现物理上分布式存储的数据共享方式。分建共享方式为用户提供一种数据同步更新、数据安全共享、异构数据互操作的技术解决方案。本文主要阐述"分建共享"的空间数据共享机制在数据存储、数据服务、服务调度、网络环境4部分建设过程中采用的关键技术以及实现方式。并通过具体应用项目来论证"分建共享"的空间数据共享机制在空间数据共享、协同办公方面的优势。 相似文献
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采用B/S技术框架,集成GIS技术、Web Service、SOA等技术实现框架数据后台管理、平台运营维护、服务在线提供等。为了确保共享交换平台的可持续发展,系统软件架构采用面向服务的SOA,基于Web Service技术向政府部门发布地理空间数据服务,通过服务接口实现专业应用系统的定制。还实现了多源数据之间的转换与互操作、跨平台图元编辑器与不同格式的GIS图元数据的互操作。 相似文献
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面向服务的地理信息公共平台关键技术研究 总被引：1，自引：0，他引：1
地理信息公共平台是数字城市地理空间框架建设的重要内容。基于面向服务的体系架构,本文设计和研究了地理信息公共平台应用的总体模型。空间信息目录服务为分布式地理资源共享集成提供索引,数据在线维护更新和网络空间分析服务实现了多源多专题空间数据的分布式互操作机制。实验采用开放松耦合接口跨部门共建应用模式,在数字城市地理空间框架建设中实践验证本文关键技术具有应用价值。 相似文献
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针对不同地理网络GIS应用间信息集成和功能共享难于实现的问题,该文提出地理网络互操作模型OpenNet。该模型通过定义一系列与平台无关的地理网络对象和方法,扩展和完善了开放地理信息协会简单要素规范,并解决地理网络GIS互操作问题。OpenNet包括对象模型和操作模型两部分,前者定义网络对象并规范对象方法,后者定义网络类和网络对象两个层次的修改操作。该文以ARCGIS和MapGIS两种主流GIS平台上的地理网络互操作为例,验证了OpenNet模型的可行性,证明它能够实现数据和功能的互操作,并支持与平台无关的通用地理网络应用系统的开发。 相似文献
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《International Journal of Digital Earth》2013,6(4):383-403
Abstract Geospatial simulation models can help us understand the dynamic aspects of Digital Earth. To implement high-performance simulation models for complex geospatial problems, grid computing and cloud computing are two promising computational frameworks. This research compares the benefits and drawbacks of both in Web-based frameworks by testing a parallel Geographic Information System (GIS) simulation model (Schelling's residential segregation model). The parallel GIS simulation model was tested on XSEDE (a representative grid computing platform) and Amazon EC2 (a representative cloud computing platform). The test results demonstrate that cloud computing platforms can provide almost the same parallel computing capability as high-end grid computing frameworks. However, cloud computing resources are more accessible to individual scientists, easier to request and set up, and have more scalable software architecture for on-demand and dedicated Web services. These advantages may attract more geospatial scientists to utilize cloud computing for the development of Digital Earth simulation models in the future. 相似文献
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当前云计算的发展已能支持高性能的地理空间服务,比如在数字城市和电子商务等行业。Apache基金支持下的开源软件框架Hadoop,可以用来构建一个云环境的集群用来存储和处理高性能的地理空间数据。开放地理空间联盟(OGC)的Web三维服务(W3DS)就是这样一个很好的三维的地理空间数据服务标准。在标准的云计算环境下将是一个更好的应用示范。基于此,本文研究了OGC的W3DS服务在云计算环境下的实验结果。实验采用Apache的Hadoop框架作为三维地理空间信息服务实验展示的基础。实验结果对展示高性能的三维地理空间信息提供了有价值的参考。 相似文献
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近年来,地理空间数据共享和交换的建设在全国范围内迅速开展,而相应的标准尚未完全建立或仍未完全满足需求,本文在分析地理空间数据共享和交换标准体系构建的原则及意义后,提出了其一般组成内容,旨在为建立地理空间数据共享和交换的标准规范提供前期研究,进而规范地理空间数据共享和交换的实现。 相似文献
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Cloud computing has been considered as the next-generation computing platform with the potential to address the data and computing challenges in geosciences. However, only a limited number of geoscientists have been adapting this platform for their scientific research mainly due to two barriers: 1) selecting an appropriate cloud platform for a specific application could be challenging, as various cloud services are available and 2) existing general cloud platforms are not designed to support geoscience applications, algorithms and models. To tackle such barriers, this research aims to design a hybrid cloud computing (HCC) platform that can utilize and integrate the computing resources across different organizations to build a unified geospatial cloud computing platform. This platform can manage different types of underlying cloud infrastructure (e.g., private or public clouds), and enables geoscientists to test and leverage the cloud capabilities through a web interface. Additionally, the platform also provides different geospatial cloud services, such as workflow as a service, on the top of common cloud services (e.g., infrastructure as a service) provided by general cloud platforms. Therefore, geoscientists can easily create a model workflow by recruiting the needed models for a geospatial application or task on the fly. A HCC prototype is developed and dust storm simulation is used to demonstrate the capability and feasibility of such platform in facilitating geosciences by leveraging across-organization computing and model resources. 相似文献
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Chuanrong Zhang Tian Zhao Weidong Li 《International Journal of Applied Earth Observation and Geoinformation》2010
Although the fast development of OGC (Open Geospatial Consortium) WFS (Web Feature Service) technologies has undoubtedly improved the sharing and synchronization of feature-level geospatial information across diverse resources, literature shows that there are still apparent limitations in the current implementation of OGC WFSs. Currently, the implementation of OGC WFSs only emphasizes syntactic data interoperability via standard interfaces and cannot resolve semantic heterogeneity problems in geospatial data sharing. To help emergency responders and disaster managers find new ways of efficiently searching for needed geospatial information at the feature level, this paper aims to propose a framework for automatic search of geospatial features using Geospatial Semantic Web technologies and natural language interfaces. We focus on two major tasks: (1) intelligent geospatial feature retrieval using Geospatial Semantic Web technologies; (2) a natural language interface to a geospatial knowledge base and web feature services over the Semantic Web. Based on the proposed framework we implemented a prototype. Results show that it is practical to directly discover desirable geospatial features from multiple semantically heterogeneous sources using Geospatial Semantic Web technologies and natural language interfaces. 相似文献
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An online spatial biodiversity model (SBM) for optimized and automated spatial modelling and analysis of geospatial data is proposed, which is based on web processing service (WPS) and web service orchestration (WSO) in parallel computing environment. The developed model integrates distributed geospatial data in geoscientific processing workflow to compute the algorithms of spatial landscape indices over the web using free and open source software. A case study for Uttarakhand state of India demonstrates the model outputs such as spatial biodiversity disturbance index (SBDI) and spatial biological richness index (SBRI). In order to optimize and automate, an interactive web interface is developed using participatory GIS approaches for implementing fuzzy AHP. In addition, sensitivity analysis and geosimulation experiments are also performed under distributed GIS environment. Results suggest that parallel algorithms in SBM execute faster than sequential algorithms and validation of SBRI with biological diversity shows significant correlation by indicating high R2 values. 相似文献
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Requirements for Next Generation Spatial Data Infrastructures-Standardized Web Based Geoprocessing and Web Service Orchestration 总被引：2，自引：0，他引：2
Spatial Data Infrastructures (SDI) have been widely accepted to exchange geospatial data among organizations. Today SDIs main focus lies on the provision of geospatial data in the form of distributed spatial web services, the retrieval through catalogues, and visualization in the form of Web Map Services (WMS). The hypothesis presented in this paper takes SDI's one step further by providing a method to process geodata in an Open Geospatial Consortium (OGC) compliant way into information. Two case studies present the potential of standardized geoprocessing services. In addition, this paper addresses the problem of service chaining by providing a system architecture to implement complex geoprocessing models and workflows based on web services using Web Service Orchestration (WSO). The proposed methods utilize spatial standards provided by OGC, the International Organization for Standardization (ISO) and ‘mainstream IT’ standards provided by the World Wide Web Consortium (W3C) and the Organization for the Advancement of Structured Information Standards (OASIS) to establish a generic web service architecture for providing common geoprocessing capabilities (e.g. spatial algorithms, map algebra, etc.) for usage in SDIs. 相似文献