Linked Data Games: Simulating Human Association with Linked Data.
J.J. van Hees, Thomas Roth–Berghofer, Andreas R. Dengel · LWA · 2010
Teaching machines to understand human communication is one of the central goals of artificial intelligence. Psychological research indicates that human associations are an essential requirement to understand human communication. In this paper the hypothesis is presented that simulating human associations with the help of Linked Data could improve text understanding capabilities of machines. To investigate whether human associations can be simulated with Linked Data, two preliminary problems are identified: (i) A reasonable ground truth for human associations is lacking and (ii) human associations have different strengths while Linked Data treats all triples equally and does not provide edge weights. To overcome these problems, two ideas for web games in accordance with Luis von Ahn’s Games with a Purpose are proposed trying to turn the tedious acquisition processes into fun games. The resulting datasets are then to be used for quantitative comparisons of human associations and Linked Data.