摘要
上下文建模与推理是支持虚拟计算环境自适应调整的技术基础,基于本体的建模是其中一种重要的方法,但缺乏相关的定量分析。本文分析了不同的上下文建模方法,重点以基于OWL和XML的建模方法为代表,通过实验从推理效率、建模能力和易操作性三方面对比了基于本体的语义化方法和基于标记语言的非语义方法。
Context modeling and reasoning is the basis of virtual computing environments for dynamic adapting.The ontology-based modeling is one of the important approaches,with the lack of correlative quantitative analysis.This paper analyzes several existing context modeling methods,and focuses on the comparison between the ontology-based modeling and the markup modeling in the three aspects like reasoning efficiency,modeling capability and programming convenience.OWL is chosen to describe the ontology and XML is chosen as the markup language respectively.
出处
《计算机工程与科学》
CSCD
北大核心
2012年第2期111-115,共5页
Computer Engineering & Science
基金
国家863计划资助项目(2009AA01Z123)
关键词
上下文推理
效率
本体
虚拟计算环境
context reasoning
efficiency
ontology
virtual computing environment