Social reputation and trust concepts applications in semantic web applications

In recent years internet and social networks are developing rapidly. These social networks reflect the normal life successfully. Thus, people create a virtual life with these social networks. People can socialize, share contents, comment, protest and do everything in this networks. So this virtual life is now accepted as a new lifestyle. This new lifestyle also makes everything connected and accessible. People can access easily any contents that they're interested in, just in time. They share, give opinion, comment, read other people's reviews about any content. And those contents can rapidly be outdated because of this fast access channels. Regarding the amount of contexts and contents, it has become a challenging problem to perform personalized recommendations. Thence, companies are started to focus on trust and reputation research to provide complex services for their users. In this thesis scope, target application is leveraged to semantic web architecture. To prepare a baseline for recommendation ability, trust and reputation is researched with data mining techniques. Finally, how reputation and trust bootstraps each other is demonstrated.