为语义网开发一个计算信任原型

Yu Zhang, Huajun Chen, Zhaohui Wu, Xiaoqing Zheng
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引用次数: 3

摘要

目前,越来越多的研究集中在语义Web的信任管理上。多智能体系统、社会网络分析、人工智能等领域的成熟技术已被引入该领域。然而,语义网的一些独特的特性或多或少被忽视了。在本文中,我们试图探讨信任管理的语义方面。本文提出了一种基于语义网的信任原型——DartTrust。引入语义网声誉链信任模型RCSW,该模型将信任因子和可靠因子两两结合,构建边加权图计算信任等级。我们定义了一个小型的信任本体来说明信任关系。信任本体用OWL描述,机器可以理解和处理。因此,DartTrust可以提供推理功能,并简化信任管理,而无需人工干预。作为原型的演示,我们在本文的最后给出了其在中医(TCM)上的实现。
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Develop a Computational Trust Prototype for the Semantic Web
Nowadays, more and more research has focused on the trust management of the Semantic Web. Some mature technologies from many fields such as multiagent systems, social network analysis and artificial intelligence have been introduced to this field. However, some unique characteristics of the Semantic Web are more or less ignored. In this paper, we try to explore the semantic aspects of the trust management. We present DartTrust, a trust prototype for the semantic web in the application context of Traditional Chinese Medicine (TCM). We introduce RCSW - a Reputation-Chain trust model for the Semantic Web, which incorporates pairwise trust factor and reliable factor and constructs an edge-weighted graph to calculate trust ratings. We define a small trust ontology to illustrate the trust relationships. The trust ontology is described in OWL that can be understood and processed by machines. Therefore, DartTrust can provide reasoning functions and facilitate trust management with little human effort. As a demonstration of the prototype, we present its implementation on Traditional Chinese Medicine (TCM) at the end of this paper.
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