An integrated geospatial information service system for disaster management in China

The Chinese Government and citizens face enormous challenges of disaster management as widespread devastation, economic damages, and loss of human lives caused by increasing natural disasters. Disaster management requires a complicated iterative process that includes disaster monitoring, early detection, forecasting, loss assessment, and efficient analysis of disaster reduction. Each task typically involves the use of technologists and multiple geospatial information resources, including sensors, data sources, models, geo-tools, software packages, and computing resources. However, most existing disaster management systems operate in a typical passive data-centric mode, where resources cannot be fully utilized. This impediment is partially being addressed by the increasingly complex application requirements and the growing availability of diverse resources. In this paper, we summarize and analyze the practical problems experienced by the National Disaster Reduction Application System of China. To address the issues of data-centric, centralized, isolated solutions, we propose a novel Focusing Service Mechanism, which is capable of scheduling and allocating for optimum utilization of multiple resources, to dynamically generate collaborative and on-demand disaster information services. We also demonstrate the design and implementation of the Integrated Disaster Information Service System (IDISS). Through the service strategies of Virtualizing, Wrapping, and Integrating, disaster-related resources are constructed into services in the IDISS. These services are dynamically aggregated into focusing service chains, for diverse disaster management tasks. Actual applications illustrate that the proposed service system can significantly improve the capability of disaster management in China.     

Asynchronous Geospatial Processing: An Event‐Driven Push‐Based Architecture for the OGC Web Processing Service

Geospatial processing tasks like solar potential analyses or floodplain investigations within flood scenarios are often complex and deal with large amounts of data. If such analysis operations are performed in distributed web‐based systems, technical capabilities are mostly not sufficient. Major shortcomings comprise the potentially long execution times and the vast amount of messaging overhead that arise from common poll‐based approaches. To overcome these issues, an approach for an event‐driven architecture for web‐based geospatial processing is proposed within this article. First, this article presents a thorough qualitative discussion of different available technologies for push‐based notifications. The aim of this discussion is to find the most suitable push‐based messaging technologies for application with OGC Web Processing Services (WPS). Based on this, an event‐driven architecture for asynchronous geospatial processing with the WPS is presented, building on the Web Socket Protocol as the transport protocol and the OGC Event Service as the message‐oriented middleware. The proposed architecture allows pushing notifications to clients once a task has completed. This paradigm enables the efficient execution of web‐based geospatial processing tasks as well as the integration of geographical analyses into event‐driven real‐time workflows.     

An automated and optimized approach for online spatial biodiversity model: a case study of OGC web processing service

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.     

空间信息资源交换服务平台研究

提出一种区域空间信息共享的解决方案——空间信息资源交换服务平台,对其概念、基于"中心/前置"的体系结构、空间数据共享方案设计等进行了详细论述,平台包括目录服务中心、数据服务中心、信息集成中心、数据发布前置系统和信息集成前置系统,采用基于XML的数据交换和基于Web服务的应用集成设计策略,研究成果应用于福建省政务信息共享平台。     

利用WCF进行空间矢量数据服务模型设计

地理信息网络服务越来越普遍,但矢量数据服务在实际应用中却存在很多问题。针对现有的矢量数据服务接口标准(如WFS)过于简单无法满足复杂的实际应用的现状,设计了一个基于WCF数据契约的空间矢量数据服务模型。针对传统Web Service技术对大数据流处理效率低的问题,提出利用WCF信道压缩编码器提高大数据量传输的方法;同时利用WCF内置的安全模式实现了矢量数据的传输安全。     

A capability matching and ontology reasoning method for high precision OGC web service discovery

Finding the right spatially aware web service in a heterogeneous distributed environment using criteria such as service type, version, time, space, and scale has become a challenge in the integration of geospatial information services. A new method for retrieving Open Geospatial Consortium (OGC) Web Service (OWS) that deals with this challenge using page crawling, link detection, service capability matching, and ontology reasoning, is described in this paper. Its major components are distributed OWS, the OWS search engine, the OWS ontology generator, the ontology-based OWS catalog service, and the ontology-based multi-protocol OWS client. Experimental results show that the execution time of this proposed method equals only 0.26 of that of Nutch's method. In addition, the precision is much higher. Moreover, this proposed method can carry out complex OWS reasoning-based queries. It is being used successfully for the Antarctica multi-protocol OWS portal of the Geo-Information Web Service Portal of the Polar.     

Putting meaning into NETMAR – the open service network for marine environmental data

The open service network for marine environmental data (NETMAR) project uses semantic web technologies in its pilot system which aims to allow users to search, download and integrate satellite, in situ and model data from open ocean and coastal areas. The semantic web is an extension of the fundamental ideas of the World Wide Web, building a web of data through annotation of metadata and data with hyperlinked resources. Within the framework of the NETMAR project, an interconnected semantic web resource was developed to aid in data and web service discovery and to validate Open Geospatial Consortium Web Processing Service orchestration. A second semantic resource was developed to support interoperability of coastal web atlases across jurisdictional boundaries. This paper outlines the approach taken to producing the resource registry used within the NETMAR project and demonstrates the use of these semantic resources to support user interactions with systems. Such interconnected semantic resources allow the increased ability to share and disseminate data through the facilitation of interoperability between data providers. The formal representation of geospatial knowledge to advance geospatial interoperability is a growing research area. Tools and methods such as those outlined in this paper have the potential to support these efforts.     

本体驱动下的网络专题地图制图服务模型

现有网络专题地图多由专家设计、制作,再进行网络发布,难以满足分布式环境下用户的在线制图需求。针对这一问题,定义了网络专题地图制图领域本体,根据此本体,利用Web Service技术实现了一个网络专题地图制图系统,并将其应用于分布式空间统计数据的在线专题制图。     

利用Web服务的分布式WebGIS架构

WebGIS是GIS领域研究的重点。分析了现有WebGIS的概念和存在的局限性,讨论了如何利用Web服务解决现有WebGIS存在的问题;介绍了Web服务的组成,提出了一种基于Web服务的分布式异构数据的WebGIS解决方案。     

Event-driven flood management: design and computational modules

Flood management is a set of activities that have to be carried out in collaboration with multiple agencies. Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground. Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts. The information (environmental parameters) provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature. Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making. Web 2.0-based web services enable data creation, sharing, communication, and collaboration on web. Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge. Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management. An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management. In this paper, a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed. The framework has been implemented to generate automatic flood extent maps, by analyzing the distributed satellite data (as service). The automation of flood delineation process reduces the overall flood product generation time. Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.     

Web service for biodiversity estimation using remote sensing data

Abstract

This paper presents a technique for the assessment and mapping of land biodiversity by using remote sensing data. The proposed approach uses a fuzzy model that encapsulates different ecological factors influencing biodiversity. We implemented our approach as a web service for the Pre-Black Sea region of the Ukraine.     

空间信息栅格SIG框架体系与关键技术研究

空间信息数据量大、处理复杂、难以共享的问题对其研究和应用提出了挑战。空间信息栅格(Spatial Information Grid，SIG)作为创新性的网络空间信息基础设施和技术体系，集成并拓展信息栅格、空间信息系统、Web服务等前沿技术，以“服务”为中心，实现一体化智能化的空间信息获取、存储、组织、分发、分析处理、应用、融合以及互操作，形成基于网络的空间信息资源共享与集成。在给出SIG基本定义的基础上，明确了SIG技术要素和特征，探索并构建了开放性的SIG框架体系，重点研究了SIG中的空间数据共享和分析处理服务技术，为SIG相关研究的拓展和深入提供了总体框架和技术基础。     

地名本体服务系统设计与实现

新一代GIS以面向服务为特征,地名本体作为地理领域本体的重要组成部分,对语义网条件下地理信息服务的研究至关重要。提出一个用于表达、存储、管理与获取地名本体数据的地名本体服务系统框架,从地名本体服务接口、资源管理引擎、地名本体引擎等3个方面设计地名本体服务功能组件,讨论3个功能组件的实现策略,并通过一系列Web服务接口发布地名本体数据,文中的研究工作对推进地名本体服务研究是一种有益的尝试。     

基于Web服务的数字城市空间数据资源共享研究

数据异构、处理复杂、海量管理、部门专有等问题制约了空间数据在数字城市中广泛的共享与应用。本文以Web服务技术为核心,提出了一个包括管理层、数据层、服务层以及应用层的数字城市空间数据资源共享框架。研究了共享数据服务平台层基本服务的实现,以及服务的组合、服务的注册与发布、服务的Qos等关键技术。最后通过共享服务平台支撑下的数字城市应用系统的实现,验证了本文提出的方法在数字城市建设中的实用性和有效性。     

基于GIS服务链的遥感影像分布式融合处理

提出了基于Web服务技术、OGC规范和工作流技术,以实现与平台无关的、具备流程编排能力的地理空间处理服务链框架,用于支持复杂的在线空间处理任务.在该框架基础上实现了一个在线遥感影像融合处理示例.该示例展示了利用OGC WCS、WPS,WSDL,UDDI和BPEL4WS等成熟的标准规范来构建GIS服务链,使得客户应用程序...     

基于OWL-S的地理信息服务描述和发现

本文建立了地理数据类型本体和地理服务类型本体,提出了基于OWL-S地理理信息服务发现方法。其核心思想是用OWL-S进行服务描述和发布,通过对服务语义描述中的输入、输出、服务分类进行分级匹配实现服务的自动发现。     

语义地理信息服务集成框架研究

分析地理信息共享中存在的问题,总结了语义web服务和地理信息服务集成研究进展,讨论了基于语义的地理信息服务集成的概念、特征,提出了一个基于语义的地理信息服务集成框架和研究内容。     

An integrated heterogeneous web service retrieval via combination of instance- and metadata-based schema matching method

Schema matching is a critical step in the integration of heterogeneous web service, which contains various types of web services and multi-version services of the same type. Mapping loss or mismatch usually occurs due to schema differences in structure and content and the variety in concept definition and organization. Current instance schema matching methods are not mature enough for heterogeneous web service because they cannot deal with the instance data in web service domain and capture all the semantics, especially metadata semantics. The metadata-based and the instance-based matching methods, in the case of being employed individually, are not efficient to determine the concept relationships, which are crucial for finding high-quality matches between schema attributes. In this paper, we propose an improved schema matching method, based on the combination of instance and metadata (CIM) matcher. The main method of our approach is to utilize schema structure, element labels, and the corresponding instance data information. The matching process is divided into two phases. In the first phase, the metadata-based matchers are used to compute the element label similarity of multi-version open geospatial consortium web service schema, and the generated matching results are raw mappings, which will be reused in the next instance matching phase. In the second phase, the designed instance matching algorithms are employed to the instance data of the raw mappings and fine mappings are generated. Finally, the raw mappings and the fine mappings are combined, and the final mappings are obtained. Our experiments are executed on different versions of web coverage service and web feature service instance data deployed in Geoserver. The results indicate that, the CIM method can obtain more accurate matching results and is flexible enough to handle the web service instance data.     

构建面向个性化服务的特大城市云空间数据中心

特大城市测绘地理信息数据具有数据海量、增长快速、多源异构、频繁使用的特点。随着大数据和Web2.0时代的到来,传统的空间数据存储管理与共享服务模式存在成果缺乏整合和挖掘、空间信息服务被动且无差别性等缺点,难以满足用户不断提高的空间数据内容、服务响应速度和服务质量的要求,也难以适应因人而异的个性化空间信息服务的需求。本文对个性化服务和云空间数据中心构建的关键技术进行了研究,提出了个性化空间数据情境应用模式,以及一种基于Web客户端的个人异构空间数据在线集成方法,基于NoSQL实现了个人空间数据与传统空间数据服务集成,并以北京市为例基于私有云构建了安全可靠、高效运行、可扩展、用户参与度高、提供个性化服务的特大城市云空间数据中心。