Building trust in online reviews by a customer through Linked Data

Online reviews have a telling and profound impact on the customer or newbie who want to purchase or consume the product via e-commerce. The deluge of the reviews which are regularly fed into the site can´t be read by the customers completely to make decisions. To make this simple, many summarization systems have come to provide a constructive view of the reviews. Customer does this by building trust on the reviews on the basis of 4 major points: (1) Electronic Word-of-Mouth [1] by close friends, family members, neighbors (2) Standard Expert reviews on that particular product (3) Customer who comments on the reviews on a regular basis in a transparent manner and (4) A good number of positive reviews. This paper talks about these points in web 3.0 perspective which can lay the foundation for automated knowledge gain through Linked Data [2] through a generic search interface.