Study on uncertainty of geospatial semantic Web services composition based on broker approach and Bayesian networks

Xiaodong Yang; Weihong Cui; Zhen Liu; Fucheng Ouyang

doi:10.1117/12.812526

3 November 2008 Study on uncertainty of geospatial semantic Web services composition based on broker approach and Bayesian networks

Xiaodong Yang, Weihong Cui, Zhen Liu, Fucheng Ouyang

Author Affiliations +

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 714305 (2008) https://doi.org/10.1117/12.812526
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Xiaodong Yang, Weihong Cui, Zhen Liu, and Fucheng Ouyang "Study on uncertainty of geospatial semantic Web services composition based on broker approach and Bayesian networks", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 714305 (3 November 2008); https://doi.org/10.1117/12.812526

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