While most research on the topic of trust on the semantic web has focused largely on digital signatures, certificates, and authentication, more social notions of trust which are reputation-based are starting to gain attention. In this paper, we describe an algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network. We present mathematical and experimental results that show the effectiveness of this algorithm to accurately infer the reputation of a node. We then describe TrustMail, an application that uses the network for rating email. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Golbeck, J., & Hendler, J. (2004). Accuracy of metrics for inferring trust and reputation in semantic web-based social networks. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3257, pp. 116–131). Springer Verlag. https://doi.org/10.1007/978-3-540-30202-5_8
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