The Experts below are selected from a list of 17331 Experts worldwide ranked by ideXlab platform
Yu Fang - One of the best experts on this subject based on the ideXlab platform.
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Distributed Geospatial Data integration based on OGC standards-compliant Geospatial Data grid services
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Xianfang Xing, Bin Chen, Zhou Huang, Yu FangAbstract:Geospatial Data is the core of spatial information system. It is always a research hotspot of how to realize the sharing and integration applications of distributed Geospatial Data. OGC has developed a number of web services specifications that enable the interoperation of heterogeneous Geospatial Data sources. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic, distributed environment. In this paper, we research on the integration technologies of distributed Geospatial Data based on OGC standards-compliant Geospatial grid services by combining grid and OGC. Firstly, we introduce the OGC Web Services standards and grid technology. Then, we design the framework of integration system of distributed Geospatial Data based on OGC standards-compliant Geospatial Data grid services. Lastly, we research the main technologies of distributed Geospatial Data integration based on OGC standards-compliant Geospatial grid services.
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Geoinformatics - Distributed Geospatial Data integration based on OGC standards-compliant Geospatial Data grid services
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Xianfang Xing, Bin Chen, Zhou Huang, Yu FangAbstract:Geospatial Data is the core of spatial information system. It is always a research hotspot of how to realize the sharing and integration applications of distributed Geospatial Data. OGC has developed a number of web services specifications that enable the interoperation of heterogeneous Geospatial Data sources. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic, distributed environment. In this paper, we research on the integration technologies of distributed Geospatial Data based on OGC standards-compliant Geospatial grid services by combining grid and OGC. Firstly, we introduce the OGC Web Services standards and grid technology. Then, we design the framework of integration system of distributed Geospatial Data based on OGC standards-compliant Geospatial Data grid services. Lastly, we research the main technologies of distributed Geospatial Data integration based on OGC standards-compliant Geospatial grid services.
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Fundamental aspects of access control for Geospatial Data
International Journal of Digital Earth, 2009Co-Authors: Yu Fang, W. Zhang, Zhou HuangAbstract:In recent years, geographical information systems have been employed in a wide variety of application domains, and as a result many research efforts are being devoted to those upcoming problems. Geospatial Data security, especially access control, has attracted increased research interests within the academic community. The tendency towards sharing and interoperability of Geospatial Data and applications makes it common to acquire and integrate Geospatial Data from multiple organisations to accomplish a complex task. Meanwhile, many organisations have the requirement for securing access to possessed sensitive or proprietary Geospatial Data. In this heterogeneous and distributed environment, consistent access control functionality is crucial to promote controlled accessibility. As an extension of general access control mechanisms in the IT domain, the mechanism for Geospatial Data access control has its own requirements and characteristics of granularity and Geospatial logic. In this paper, we address several fundamental aspects concerning the design and implementation of an access control system for Geospatial Data, including the classification, requirements, authorisation models, storage structures and management approaches for authorisation rules, matching and decision-making algorithms between authorisation rules and access requests, and its policy enforcement mechanisms. This paper also presents a system framework for realising access control functionality for Geospatial Data, and explain access control procedures in detail.
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Development of a Grid GIS Prototype for Geospatial Data Integration
2008 Seventh International Conference on Grid and Cooperative Computing, 2008Co-Authors: Zhou Huang, Bin Chen, Yu Fang, Xi WuAbstract:Recently, there has been a fast proliferation of applications creating Geospatial Data distributed somewhere that has to be processed, queried and analyzed efficiently. Consequently, there is a need for effective Data processing technologies that are able to support such distributed query and analysis operations. The emergence of grid computing offers a well solution to accomplish this goal. Development technologies to accomplish grid GIS were derived in this paper. After discussing the structure of grid GIS for Geospatial Data integration, one actual prototype system was designed and then implemented. Several implementation methods, including global directory construction and global parsing algorithm, were brought forward in this paper. Through the grid system, integration of distributed Geospatial Data was achieved.
Liping Di - One of the best experts on this subject based on the ideXlab platform.
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Sharing of Distributed Geospatial Data through Grid Technology
Handbook of Research on Geoinformatics, 2020Co-Authors: Liping Di, Guangxuan Liao, Baohua Zhao, Aijun ChenAbstract:With the rapid accumulation of Geospatial Data and the advancement of geoscience, there is a critical requirement for an infrastructure that can integrate large-scale, heterogeneous, and distributed storage systems for the sharing of Geospatial Data within multiple user communities. This article probes into the feasibility to share distributed Geospatial Data through Grid computing technology by introducing several major issues (including system heterogeneity, uniform mechanism to publish and discover Geospatial Data, performance, and security) to be faced by Geospatial Data sharing and how Grid technology can help to solve these issues. Some recent research efforts, such as ESG and the Data Grid system in GMU CSISS, have proven that Grid technology provides a large-scale infrastructure which can seamlessly integrate dispersed Geospatial Data together and provide uniform and efficient ways to access the Data.
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Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014Co-Authors: Zhengwei Yang, Liping Di, Bei Zhang, Chunming PengAbstract:There are many important publicly available agricultural Geospatial Data products for the agriculture-related research, applications, and educational outreach programs. The traditional Data distribution method cannot fully meet users' on-demand Geospatial Data needs. This paper presents interoperable, standard-compliant Web services developed for Geospatial Data access, query, retrieval, statistics, mapping, and comparison. Those standard Geospatial Web services can be integrated in scientific workflows to accomplish specific tasks or consumed over the Web to create value-added new Geospatial application by users. In addition, this paper demonstrates, via real world use cases, applications of those services and potential impacts on facilitating Geospatial Cropland Data Layer (CDL) retrieval, analysis, visualization, dissemination and integration in agricultural industry, government, research, and educational communities. This paper also shows that the Geospatial Web service approach helps improve the reusability, interoperability, dissemination, and utilization of agricultural Geospatial Data. It allows for integrating multiple online applications and different Geospatial Data sources, and enables automated retrieving and delivery of agricultural Geospatial information for decision-making support.
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IEEE SCC - Effective Acquisition of Geospatial Data Products in a Collaborative Grid Environment
2006 IEEE International Conference on Services Computing (SCC'06), 2006Co-Authors: Upendra Dadi, Chengfang Hu, Liping DiAbstract:Geospatial Data is playing an increasingly important role in many areas. But there are still many problems associated with the effective use of Geospatial Data. One is that Geospatial Data is usually large in volume and is archived at geographically distributed Data centers. Another is that the low-level Geospatial Data contains raw Data instead of information that can be directly applied by users. In this paper, we discuss solutions to some of the problems based on the Grid and SOA technologies. Specifically, we propose an architecture that can effectively manage large volumes of distributed Geospatial Data, the concept of virtual Geospatial Data products, and a mechanism that supports on-demand productions of customized Geospatial Data products. A prototypical system based on the architecture and concept has been implemented and demonstrated.
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Effective Acquisition of Geospatial Data Products in a Collaborative Grid Environment
2006 IEEE International Conference on Services Computing (SCC'06), 2006Co-Authors: Upendra Dadi, Chengfang Hu, Liping DiAbstract:Geospatial Data is playing an increasingly important role in many areas. But there are still many problems associated with the effective use of Geospatial Data. One is that Geospatial Data is usually large in volume and is archived at geographically distributed Data centers. Another is that the low-level Geospatial Data contains raw Data instead of information that can be directly applied by users. In this paper, we discuss solutions to some of the problems based on the grid and SOA technologies. Specifically, we propose an architecture that can effectively manage large volumes of distributed Geospatial Data, the concept of virtual Geospatial Data products, and a mechanism that supports on-demand productions of customized Geospatial Data products. A prototypical system based on the architecture and concept has been implemented and demonstrated
Zhou Huang - One of the best experts on this subject based on the ideXlab platform.
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Distributed Geospatial Data integration based on OGC standards-compliant Geospatial Data grid services
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Xianfang Xing, Bin Chen, Zhou Huang, Yu FangAbstract:Geospatial Data is the core of spatial information system. It is always a research hotspot of how to realize the sharing and integration applications of distributed Geospatial Data. OGC has developed a number of web services specifications that enable the interoperation of heterogeneous Geospatial Data sources. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic, distributed environment. In this paper, we research on the integration technologies of distributed Geospatial Data based on OGC standards-compliant Geospatial grid services by combining grid and OGC. Firstly, we introduce the OGC Web Services standards and grid technology. Then, we design the framework of integration system of distributed Geospatial Data based on OGC standards-compliant Geospatial Data grid services. Lastly, we research the main technologies of distributed Geospatial Data integration based on OGC standards-compliant Geospatial grid services.
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Geoinformatics - Distributed Geospatial Data integration based on OGC standards-compliant Geospatial Data grid services
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Xianfang Xing, Bin Chen, Zhou Huang, Yu FangAbstract:Geospatial Data is the core of spatial information system. It is always a research hotspot of how to realize the sharing and integration applications of distributed Geospatial Data. OGC has developed a number of web services specifications that enable the interoperation of heterogeneous Geospatial Data sources. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic, distributed environment. In this paper, we research on the integration technologies of distributed Geospatial Data based on OGC standards-compliant Geospatial grid services by combining grid and OGC. Firstly, we introduce the OGC Web Services standards and grid technology. Then, we design the framework of integration system of distributed Geospatial Data based on OGC standards-compliant Geospatial Data grid services. Lastly, we research the main technologies of distributed Geospatial Data integration based on OGC standards-compliant Geospatial grid services.
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Fundamental aspects of access control for Geospatial Data
International Journal of Digital Earth, 2009Co-Authors: Yu Fang, W. Zhang, Zhou HuangAbstract:In recent years, geographical information systems have been employed in a wide variety of application domains, and as a result many research efforts are being devoted to those upcoming problems. Geospatial Data security, especially access control, has attracted increased research interests within the academic community. The tendency towards sharing and interoperability of Geospatial Data and applications makes it common to acquire and integrate Geospatial Data from multiple organisations to accomplish a complex task. Meanwhile, many organisations have the requirement for securing access to possessed sensitive or proprietary Geospatial Data. In this heterogeneous and distributed environment, consistent access control functionality is crucial to promote controlled accessibility. As an extension of general access control mechanisms in the IT domain, the mechanism for Geospatial Data access control has its own requirements and characteristics of granularity and Geospatial logic. In this paper, we address several fundamental aspects concerning the design and implementation of an access control system for Geospatial Data, including the classification, requirements, authorisation models, storage structures and management approaches for authorisation rules, matching and decision-making algorithms between authorisation rules and access requests, and its policy enforcement mechanisms. This paper also presents a system framework for realising access control functionality for Geospatial Data, and explain access control procedures in detail.
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Development of a Grid GIS Prototype for Geospatial Data Integration
2008 Seventh International Conference on Grid and Cooperative Computing, 2008Co-Authors: Zhou Huang, Bin Chen, Yu Fang, Xi WuAbstract:Recently, there has been a fast proliferation of applications creating Geospatial Data distributed somewhere that has to be processed, queried and analyzed efficiently. Consequently, there is a need for effective Data processing technologies that are able to support such distributed query and analysis operations. The emergence of grid computing offers a well solution to accomplish this goal. Development technologies to accomplish grid GIS were derived in this paper. After discussing the structure of grid GIS for Geospatial Data integration, one actual prototype system was designed and then implemented. Several implementation methods, including global directory construction and global parsing algorithm, were brought forward in this paper. Through the grid system, integration of distributed Geospatial Data was achieved.
Chunming Peng - One of the best experts on this subject based on the ideXlab platform.
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Enhancing Agricultural Geospatial Data Dissemination and Applications Using Geospatial Web Services
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014Co-Authors: Zhengwei Yang, Liping Di, Bei Zhang, Chunming PengAbstract:There are many important publicly available agricultural Geospatial Data products for the agriculture-related research, applications, and educational outreach programs. The traditional Data distribution method cannot fully meet users' on-demand Geospatial Data needs. This paper presents interoperable, standard-compliant Web services developed for Geospatial Data access, query, retrieval, statistics, mapping, and comparison. Those standard Geospatial Web services can be integrated in scientific workflows to accomplish specific tasks or consumed over the Web to create value-added new Geospatial application by users. In addition, this paper demonstrates, via real world use cases, applications of those services and potential impacts on facilitating Geospatial Cropland Data Layer (CDL) retrieval, analysis, visualization, dissemination and integration in agricultural industry, government, research, and educational communities. This paper also shows that the Geospatial Web service approach helps improve the reusability, interoperability, dissemination, and utilization of agricultural Geospatial Data. It allows for integrating multiple online applications and different Geospatial Data sources, and enables automated retrieving and delivery of agricultural Geospatial information for decision-making support.
Ying Zhang - One of the best experts on this subject based on the ideXlab platform.
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Semantic-Based Geospatial Data Integration With Unique Features
Geospatial Intelligence, 2020Co-Authors: Ying Zhang, Chaopeng Li, Na Chen, Liming Du, Zhuxiao Wang, Miaomiao MaAbstract:Since large amount of Geospatial Data are produced by various sources, Geospatial Data integration is difficult because of the shortage of semantics. Despite standardised Data format and Data access protocols, such as Web Feature Service (WFS), can enable end-users with access to heterogeneous Data stored in different formats from various sources, it is still time-consuming and ineffective due to the lack of semantics. To solve this problem, a prototype to implement the Geospatial Data integration is proposed by addressing the following four problems, i.e., Geospatial Data retrieving, modeling, linking and integrating. We mainly adopt four kinds of Geospatial Data sources to evaluate the performance of the proposed approach. The experimental results illustrate that the proposed linking method can get high performance in generating the matched candidate record pairs in terms of Reduction Ratio(RR), Pairs Completeness(PC), Pairs Quality(PQ) and F-score. The integrating results denote that each Data source can get much Complementary Completeness(CC) and Increased Completeness(IC).
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Semantic Web and Geospatial Unique Features Based Geospatial Data Integration
International Journal on Semantic Web and Information Systems, 2020Co-Authors: Ying Zhang, Chaopeng Li, Na Chen, Liming Du, Zhuxiao Wang, Miaomiao MaAbstract:Since large amount of Geospatial Data are produced by various sources and stored in incompatible formats, Geospatial Data integration is difficult because of the shortage of semantics. Despite standardised Data format and Data access protocols, such as Web Feature Service (WFS), can enable end-users with access to heterogeneous Data stored in different formats from various sources, it is still time-consuming and ineffective due to the lack of semantics. To solve this problem, a prototype to implement the Geospatial Data integration is proposed by addressing the following four problems, i.e., Geospatial Data retrieving, modeling, linking and integrating. First, we provide a uniform integration paradigm for users to retrieve Geospatial Data. Then, we align the retrieved Geospatial Data in the modeling process to eliminate heterogeneity with the help of Karma. Our main contribution focuses on addressing the third problem. Previous work has been done by defining a set of semantic rules for performing the linking process. However, the Geospatial Data has some specific Geospatial relationships, which is significant for linking but cannot be solved by the Semantic Web techniques directly. We take advantage of such unique features about Geospatial Data to implement the linking process. In addition, the previous work will meet a complicated problem when the Geospatial Data sources are in different languages. In contrast, our proposed linking algorithms are endowed with translation function, which can save the translating cost among all the Geospatial sources with different languages. Finally, the Geospatial Data is integrated by eliminating Data redundancy and combining the complementary properties from the linked records. We mainly adopt four kinds of Geospatial Data sources, namely, OpenStreetMap(OSM), Wikmapia, USGS and EPA, to evaluate the performance of the proposed approach. The experimental results illustrate that the proposed linking method can get high performance in generating the matched candidate record pairs in terms of Reduction Ratio(RR), Pairs Completeness(PC), Pairs Quality(PQ) and F-score. The integrating results denote that each Data source can get much Complementary Completeness(CC) and Increased Completeness(IC).
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A unified approach to automate Geospatial Data retrieval using semantic web technologies
2016 IEEE ACIS 15th International Conference on Computer and Information Science (ICIS), 2016Co-Authors: Ying Zhang, Chaopeng Li, Liming Du, Hui HeAbstract:There is a tremendous number of Geospatial Data becoming available and there are numerous methods for getting access to Geospatial sources. However, diverse Geospatial Data sources lead to various extracting ways. Users without adequate background knowledge are unable to fully exploit the growing amount of Geospatial Data. Our work provides users with a uniform interaction paradigm to tackle the variant retrieval problems in a universal way. Unifying the retrieval methods requires the ability to invoke processing algorithms by a uniform interaction paradigm. Our approach, implemented in a tool called Karma, encapsulates these algorithms as Web Services. As different sources present diverse non-semantic Geospatial Data, users cannot fully understand the extracted Geospatial Data. We have defined a general ontology to align and semantify the retrieved Data. In addition, we present the principles underlying our approach, and several running examples are given to demonstrate the feasibility and effectiveness of our prototype.
