Getting to the Bottom of Statistics: Software utilizes data from the Internet for interpreting statistics
Monday, July 16, 2012 - 20:00
in Mathematics & Economics
Interpreting the results of statistical surveys, e.g., Transparency International’s corruption indices, is not always a simple matter. As Dr. Heiko Paulheim of the Knowledge Engineering Group at the TU Darmstadt’s Computer Sciences Dept. put it, “Although methods that will unearth explanations for statistics are available, they are confined to utilizing data contained in the statistics involved. Further, background information will not be taken into account. That is what led us to the idea of applying data-mining methods that we had been studying here to the semantic web in order to obtain further, background information that will allow us to learn more from statistics.”