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机构地区:[1]镇江船艇学院,镇江212003
出 处:《计算机科学》2013年第11A期224-227,共4页Computer Science
摘 要:在高动态、异构和动态的服务计算环境下,信任度量依赖于推荐信任信息的交流与共享,而现有信任度量方法忽略了对推荐信息内涵和特征的分析,导致实体间的主客观差异性严重影响了信任度量的准确性。首先给出了信任及其度量的形式化语义,提出了一种以经验为核心概念类的经验本体E-Ont,明确了交互经验相关的概念及属性,在此基础上给出了信任推导及聚合方法。与基于评价和上下文的信任度量方法相比,所提方法增强了信任度量的准确性,利于服务请求者在开放、异构服务环境下选择可信的服务提供方进行交互。Trust calculation rely on communication and sharing of recommendatory trust information from so called third parties in the high dynamic, open, heterogeneous and distributed service computing environments. However current research methods in trust representation and calculation lack the analysis and reasoning on experience information, de creasing reliability of trust calculation which is being aggravated by subjective and objective difference of entities within such networks environments. This paper first introduce trust representation and calculation based on formal semantics, then proposed an experience ontology in which explicitly represents concepts and properties related to interactions expe rience, namely E-Ont. At last, trust calculus were defined on the basis of experience sharing. Compared with trust calculus based on rating and context-aware rating, our method enhance the reliability of trust calculation and beneficial selecting of trusted service provider in open, heterogeneous and distributed environments.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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