Provenance for Web 2.0 Data

Meghyn Bienvenu, Daniel Deutch, Fabian M. Suchanek

Abstract: In this paper, we look at Web data that comes from multiple sources, as in the Web 2.0. We argue that Web data is more than just its content. Rather, a piece of Web data carries along different facets, such the transformations that data underwent, the different perspectives that users have on the content, and the context in which a statement is made. We put forward the idea that provenance, i.e. the tracing of where data comes from, can help us model these phenomena. We study how far existing approaches address the issue of provenance for Web data, and identify gaps and open problems.