Truth Discovery with Multiple Conflicting Information Providers on the Web

The world-wide web has become the most important infor- mation 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, i.e., conformity to truth, which studies how to find true facts from a large amount of conflicting informa- tion on many subjects that is provided by various web sites. We design a general framework for the Veracity problem, and invent an algorithm called TruthFinder, which uti- lizes the relationships between web sites and their informa- tion, i.e., a web site is trustworthy if it provides many pieces of true information, and a piece of information is likely to be true if it is provided by many trustworthy web sites. Our ex- periments show that TruthFinder successfully finds true facts among conflicting information, and identifies trustwor- thy web sites better than the popular search engines.
Date: November 30, 2008
Book Title: IEEE Transactions on Knowledge and Data Engineering
Type: InProceedings
Edition: 20(6)
Pages: 796-808
Publisher: IEEE
Downloads: 1193

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Bibtex


@InProceedings{Truth_Discovery_with_Multiple_Conflictin,
  author = "Xiaoxin Yin and Jiawei Han and Philip S Yu",
  title = "{Truth Discovery with Multiple Conflicting Information Providers on the Web}",
  month = "November",
  year = "2008",
  edition = "20(6)",
  pages = "796-808",
  booktitle = "IEEE Transactions on Knowledge and Data Engineering",
  publisher = "IEEE",
}