Study on Uncertainty of Geospatial Semantic Web Services Composition based on Broker Approach and Bayesian Networks

摘要：

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.

关键词： Geospatial Web Services Uncertainty Bayesian Networks Services Composition Historical Records

作者: Yang Xiaodong Cui Weihong Liu Zhen Ouyang Fucheng

作者单位: Institute of Remote Sensing Applications Chinese Academy of Sciences,Beijing,China,100101 Guangzhou Zomay Info & Tech Co.,Ltd.Guangzhou,China,510230

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）