OntoBayes: An ontology-driven uncertainty model

被引：0
|
作者：
Yang, Yi [1 ]
Calmet, Jacques [1 ,2 ]
机构：
[1] Univ Karlsruhe TH, IAKS, D-76131 Karlsruhe, Germany
[2] Tianjin Normal Univ, Tianjin Key Lab Intelligence Comput, Novel Software Technol, Tianjin, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS | 2006年
关键词：
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：
This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes use of probability and dependency-annotated OWE to represent uncertain information in BN structures. These extensions enhance knowledge representation in OWL and enable agents to act under uncertainty and complex structured open environments at the same time. This paper presents the underlying principles and scratches the surface of the decision theoretic agent system design based on "OntoBayes ".
引用
收藏
页码：457 / +
页数：2
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