Data In Context: Aiding News Consumers while Taming Dataspaces
Eugene W. Wu, Adam Marcus, Samuel R. Madden · 2013
We present MuckRaker, a tool that provides news consumers with datasets and visualizations that contextualize facts and figures in the articles they read. MuckRaker takes advantage of data integration techniques to identify matching datasets, and makes use of data and schema extraction algorithms to identify data points of interest in articles. It presents the output of these algorithms to users requesting additional context, and allows users to further refine these outputs. In doing so, MuckRaker creates a synergistic relationship between news consumers and the database research community, providing training data to improve existing algorithms, and a grand challenge for the next generation of dataspace management research.