摘要
现有的信任模型依靠聚集系统中其他实体的推荐信任信息对目标实体进行信任度量,忽略了对信任关系及交互经验信息内涵和特征的分析,加剧了分布异构环境中因实体间主客观差异性造成的信任度量偏差。提出了一种以经验为核心概念类的经验本体E-Ont,明确了信任相关经验的概念及属性,在此基础上提出一种本体信任模型ESOBTM,实现了经验信息在语义层面上的理解和解释,有效解决了服务计算环境中上下文和评价标准的差异性对信任度量的影响。仿真实验表明,相比于现有的信任模型,ESOBTM增强了动态服务计算环境下服务交互实体选择的成功率,提高了服务计算系统的可信性。
The classical trust metric for the target entity is relied on aggregating recommendation trust information of other entities which are in the same system and ignores the analysis of content and features for trust relationship and experience information.Naturally,it exacerbated the deviation of trust metric due to differences between the entities in a distributed heterogeneous environment.This paper proposed an experience ontology defining the concept and attribute of trust-related experience,namely E-Ont,of which the core class was experience.It presented a new trust model based on experience reasoning for service oriented system,namely ESOBTM,which solved the problem of the effects on trust measurement owing to the differences of context and evaluation criteria in service computing environment by communicating and sharing the experience information in semantic level.Theoretical analysis and simulation shows that compared to the current some trust models,the proposed model ESOBTM promotes the success rate for interactive entity selection and improves the dependability of service computing systems.
出处
《计算机应用研究》
CSCD
北大核心
2011年第7期2754-2757,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(90718021)
江苏省自然科学基金资助项目(BK2007593)
江苏省研究生创新基金资助项目(AD20255)
关键词
本体
经验
评价标准
上下文
信任度
ontology
experience
criterion standard
context
trust degree