Truth Finding on the Deep Web: Is the Problem Solved?

Understand

The amount of useful information available on the Web has been growing at a dramatic pace in recent years and people rely more and more on the Web to fulfill their information needs.

• In this paper, we study truthfulness of Deep Web data in two domains where we believed data are fairly clean and data quality is important to people's lives: {\em Stock} and {\em Flight}.
• To our surprise, we observed a large amount of inconsistency on data from different sources and also some sources with quite low accuracy.
• We further applied on these two data sets state-of-the-art {\em data fusion} methods that aim at resolving conflicts and finding the truth, analyzed their strengths and limitations, and suggested promising research directions.