Betterrelations: using a game to rate linked data triples

Authors:
Jörn Hees;Thomas Roth-Berghofer;Ralf Biedert;Benjamin Adrian;Andreas Dengel
Affiliations:
Computer Science Department, University of Kaiserslautern and Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany;Knowledge Management Department, DFKI GmbH, Kaiserslautern and Institute of Computer Science, University of Hildesheim, Germany;Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany;Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany;Computer Science Department, University of Kaiserslautern and Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany
Venue:
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Year:
2011

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Abstract

While associations between concepts in our memory have different strengths, explicit strengths of links (edge weights) are missing in Linked Data. In order to build a collection of such edge weights, we created a web-game prototype that ranks triples by importance. In this paper we briefly describe the game, Linked Data preprocessing aspects, and the promising results of an evaluation of the game.