Online Reputation management systems compute, manage, and provide reputation about entities which act on the Web. An important research question is how such a reputation management system can be build for the Semantic Web. In this paper we contribute with a reputation management system based on distributed rule agents, which uses Semantic Web rules for implementing the reputation management fun...

In this paper, we investigate how dynamic properties of reputation can influence the quality of users ranking. Reputation systems should be based on rules that can guarantee a high level of trust and help identifying unreliable units. To understand the effectiveness of dynamic properties in the evaluation of reputation, we propose our own model (DIB-RM) that is based on three factors: forgettin...

In recent years, we have witnessed an increasing use of trust and reputation systems in different areas of ICT. The idea at the base of trust and reputation systems is of letting users to rate the provided services after each interaction. Other users may use aggregate ratings to compute reputation scores for a given party. The computed reputation scores are a collective measure of parties trust...

Reputation mechanisms for distributed e-Communities are vital tools for facilitating trust decisions regarding transactions between entities. Motivated by the current challenges in the area of P2P reputation systems regarding their desgign, credibilty enhancement and objective evaluation, in this thesis we worked towards (1) creating a framework for the development and evaluation of secure repu...

Web 2.0 has transformed how reputation systems are designed and used by the Web. Based on a thorough review of the existing online reputation systems and their challenges in use, this paper studied a case of Amazon’s reputation system for the impacts of Web 2.0. Through our case study, several distinguished features of new generation reputation systems are noted including multimedia feedbacks, ...

We propose a new task of automatically detecting reputation defence strategies in the field of computational argumentation. We cast the problem as relation classification, where given a pair of reputation threat and reputation defence, we determine the reputation defence strategy. We annotate a dataset of parliamentary questions and answers with reputation defence strategies. We then propose a ...

Attacks on trust and reputation systems (TRS) as well as defense strategies against certain attacks are the subject of many research papers. Although proposing valuable ideas, they all exhibit at least one of the following major shortcomings. Firstly, many researchers design defense mechanisms from scratch and without reusing approved ideas. Secondly, most proposals are limited to naming and th...

Online communities provide a social sphere for people to share information and knowledge. While information sharing is becoming a ubiquitous online phenomenon, how to ensure information quality or induce quality content, however, remains a challenge due to the anonymity of commentators. This paper introduces moderation into reputation systems. We show that moderation directly impacts strategic ...

As electronic commerce developed, it became clear that buyers and sellers needed a way to evaluate the reputation of potential trade partners. Online reputation systems were developed to meet this need. More recently, online reputation systems have expanded into additional domains such as the evaluation of college professors. The study proposed here examines the characteristics of two represent...

Current deployed reputation systems simply aggregate numerical ratings provided by buyers, but overlook the buyers’ subjectivity difference in evaluating the transactions with a seller. To address this problem, we propose a subjectivity alignment approach for reputation computation (SARC).