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Guo R.,Land and Resources Commission of Shenzhen Municipality | Liu J.,Shenzhen Municipal Planning and Land Realestate Information Center | Peng Z.,Shenzhen Municipal Planning and Land Realestate Information Center | Tang L.,Shenzhen Municipal Planning and Land Realestate Information Center
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2012

Based on the background of developments of surveying, mapping and geoinformation, aimed at the demands of data fusion, real-time sharing, in-depth processing and personalization, this paper analyzes significant features of geo-spatial service in digital city, focuses on theory, method and key techniques of open environment of cloud computing, multi-path data updating, full-scale urban geocoding, multi-source spatial data integration, adaptive geo-processing and adaptive Web mapping. As the basis for it, the Open Geospatial information platform is developed, and successfully implicated in digital Shenzhen.


Liu J.,Wuhan University | Liu J.,Shenzhen Municipal Planning and Land Realestate Information Center | Du Q.,Wuhan University | Liu Y.,Shenzhen Municipal Planning and Land Realestate Information Center
Advances in Information Sciences and Service Sciences | Year: 2012

As the geographic information service is becoming popular increasingly, only paying attention to the functions of geo-services no longer meets the users' requirement of quality of service. On account of the dynamics of Internet environment, the randomness of Web service and the inherent quality characteristics of geographic information, this article analyzes the QoS measurement, QoS model and error propagation model of geo-service, discusses the adaptive control strategy during geographic information service composition, and proposes a dependable geo-service composition framework and realization algorithm. Through simulation experiments, the method described here is compared to the result with network QoS control and the result without QoS control to demonstrate the obvious superiority of the dependable and adaptive geo-service composition.


Liu J.,Wuhan University | Liu J.,Shenzhen Municipal Planning and Land Realestate Information Center | Du Q.,Wuhan University | Liu Y.,Shenzhen Municipal Planning and Land Realestate Information Center
Procedia Engineering | Year: 2012

For the automatic generation of geographical information service chain, this article defines the quality of service (QoS) metrics based on service response time, reliability, and matching degree, among others, and the error propagation model. Based on the semantic matching and trustworthiness assessment of the geographical information services, this article proposes a trustworthy adaptive composition framework and implementation algorithm for geographical information services, ensuring the composition of service chains to better meet various QoS constraints. The effectiveness of this approach is proven in the simulation experiments. © 2011 Published by Elsevier Ltd.

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