Study on uncertainty of Geospatial Web Services discovery and composition based on Bayesian Networks

被引：0
|
作者：
Yang, Xiaodong [1 ]
Cui, Weihong [1 ]
Liu, Zhen [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
来源：
2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 1 | 2008年
关键词：
Geospatial Web Services; uncertainty; Bayesian Networks; services composition; historical records;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Uncertainty in Geospatial Web Service is existed as in Geospatial data. The services composition approaches such as BPEL4WS and Semantic Description Model are can't define and descript the uncertainty problems. We analyze the uncertainty category in Geospatial Web services and then propose a new service composition model approach through mining the knowledge in composition historical records based on Bayesian Networks. We proved that this approach was effective and efficient through a sample scenario which used in land suitability evaluation business.
引用
收藏
页码：1258 / 1263
页数：6
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