摘要
本体作为一种能在语义和知识层次上描述知识模型的建模工具,提供了概念的规范化描述,为知识的共享奠定了基础。论文通过本体构建工具构建了一个旅游信息知识库本体,并能在构建好的本体知识库上进行一系列的推理。同时,可以手工构造推理规则,来提供深层知识挖掘,完成语义网的关键目标即"机器可理解"。对于无法用描述逻辑来描述的不确定性知识推理,引入贝叶斯网络,不但可以方便地构造条件概率表,而且可以快速合理地进行概率推理,得出逼近人们需求的旅行方案。
Ontology,as a modeling instrument to describe knowledge pattern can be basically used on the platform of semantic and knowledge levels,also can provide a standardization describing of concept and fix a foundation for knowledge shared.To structure a field of ontology called tourism-information-library by using an ontology building tool,it can implement a series of reasoning on the knowledge bases.Meanwhile,reasoning rules can be structured manually in order to provide deeper knowledge digging,thus a key target of semantic web called ＂machine can understand＂ will be completed.For uncertainty knowledge reasoning which can not be described by description logic,the Bayesian Network has been introduced.So using the tool of Netica to build bayesian network topology structure,can not only structure a conditioned probability table easily,but also can rapidly and rationally give out a probabilistic reasoning,then a feasible traveling plan meet the people＇s needs can be approximately put forward.
出处
《内蒙古工业大学学报（自然科学版）》
2011年第3期371-380,共10页
Journal of Inner Mongolia University of Technology：Natural Science Edition
基金
内蒙古自然科学基金资助项目(20080404MS0904)
内蒙古自治区高等学校科学研究项目(NJ09068)
内蒙古工业大学科学研究资助项目(ZD200801)
关键词
语义网
本体
旅游
推理
Semantic Web
Ontology
Traveling
Reasoning
