Semantics Discovery via Human Computation Games

  • Authors:
  • Jakub Šimko;Michal Tvarožek;Mária Bieliková

  • Affiliations:
  • Slovak University of Technology, Slovak Republic;Slovak University of Technology, Slovak Republic;Slovak University of Technology, Slovak Republic

  • Venue:
  • International Journal on Semantic Web & Information Systems
  • Year:
  • 2011

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Abstract

The effective acquisition of semantic metadata is crucial for many present day applications. Games with a purpose address this issue by transforming computational problems into computer games. The authors present a novel approach to metadata acquisition via Little Search Game LSG-a competitive web search game, whose purpose is the creation of a term relationship network. From a player perspective, the goal is to reduce the number of search results returned for a given search term by adding negative search terms to a query. The authors describe specific aspects of the game's design, including player motivation and anti-cheating issues. The authors have performed a series of experiments with Little Search Game, acquired real-world player input, gathered qualitative feedback from the players, constructed and evaluated term relationship network from the game logs and examined the types of created relationships.