17-06-2013, 03:19 PM
Truth Discovery With Multiple Conflicting Information Providers On The Web
Truth Discovery With Multiple.ppt (Size: 919 KB / Downloads: 25)
Abstract
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web.
Moreover, different web sites often provide conflicting in-formation on a subject, such as different specifications for the same product. In this paper we propose a new problem called Veracity that is conformity to truth.
We design a general framework for the Veracity problem, and invent an algorithm called Truth Finder, which utilizes the relationships between web sites and their information.
Our experiments show that Truth Finder successfully finds true facts among conflicting information, and identifies trustworthy web sites better than the popular search engines.
Existing System
Page Rank and Authority-Hub analysis is to utilize the hyperlinks to find pages with high authorities.
These two approaches identifying important web pages that users are interested in, Unfortunately, the popularity of web pages does not necessarily lead to accuracy of information
Proposed System
We formulate the Veracity problem about how to discover true facts from conflicting information.
Second, we propose a framework to solve this problem, by defining the trustworthiness of websites, confidence of facts, and influences between facts.
Finally, we propose an algorithm called TRUTHFINDER for identifying true facts using iterative methods.