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Proceedings Paper

Study on uncertainty of geospatial semantic Web services composition based on broker approach and Bayesian networks
Author(s): Xiaodong Yang; Weihong Cui; Zhen Liu; Fucheng Ouyang
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Paper Abstract

The Semantic Web has a major weakness which is lacking of a principled means to represent and reason about uncertainty. This is also located in the services composition approaches such as BPEL4WS and Semantic Description Model. We analyze the uncertainty of Geospatial Web Service composition through mining the knowledge in historical records of composition based on Broker approach and Bayesian Networks. We proved this approach is effective and efficient through a sample scenario in this paper.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 714305 (3 November 2008); doi: 10.1117/12.812526
Show Author Affiliations
Xiaodong Yang, Institute of Remote Sensing Applications (China)
Weihong Cui, Institute of Remote Sensing Applications (China)
Zhen Liu, Institute of Remote Sensing Applications (China)
Fucheng Ouyang, Guangzhou Zomay Info & Tech Co., Ltd. (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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