Semantics Discovery via Human Computation Games
Jakub Šimko,
Michal Tvarožek and
Mária Bieliková
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Jakub Šimko: Slovak University of Technology, Slovak Republic
Michal Tvarožek: Slovak University of Technology, Slovak Republic
Mária Bieliková: Slovak University of Technology, Slovak Republic
International Journal on Semantic Web and Information Systems (IJSWIS), 2011, vol. 7, issue 3, 23-45
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.
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:7:y:2011:i:3:p:23-45
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