A New Trust Model Based on Social Characteristic and Reputation Mechanism for the Semantic Web

Wang Xue, Zhang Fan
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引用次数: 11

Abstract

A serious problem on the WWW is finding reliable information. Not everything found on the Web is true and the semantic Web does not change that in any way. The problem will be even more crucial for the semantic Web, where agents will be integrating and using information from multiple sources. Statements published on the semantic Web have to be seen as claims rather than as facts, and there should be a way to decide which among many possibly inconsistent sources is most reliable. In this work, we propose a trust model for the semantic Web. The proposed model is inspired by the use trust in human society. Trust is a type of social knowledge and encodes evaluations about which agents can be taken as reliable sources of information or services. Our proposed model allows agents to decide which among different sources of information to trust and thus act rationally on the semantic Web.
基于社会特征和信誉机制的语义网信任模型
在WWW上找到可靠的信息是一个严重的问题。并不是在网上找到的所有东西都是真实的,语义网也不会以任何方式改变这一点。对于语义Web来说,这个问题将更加关键,在语义Web中,代理将集成和使用来自多个来源的信息。在语义Web上发布的声明必须被视为声明而不是事实,并且应该有一种方法来决定在许多可能不一致的来源中哪个是最可靠的。在这项工作中,我们提出了一个语义Web的信任模型。该模型的灵感来源于人类社会的使用信任。信任是一种社会知识,对哪些代理可以作为可靠的信息或服务来源进行编码评估。我们提出的模型允许代理在不同的信息源中决定信任哪一个,从而在语义Web上合理地行动。
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