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Little search game: term network acquisition via a human computation game

Published: 06 June 2011 Publication History

Abstract

Semantic structures, ranging from ontologies to flat folksonomies, are widely used on the Web despite the fact that their creation in sufficient quality is often a costly task. We propose a new approach for acquiring a lightweight network of related terms via the Little Search Game - a competitive browser game in search query formulation. The format of game queries forces players to express their perception of term relatedness. The term network is aggregated using "votes" from multiple players playing the same problem instance. We show that nearly 91% of the relationships produced by Little Search Game are correct and also elaborate on the game's unique ability to discover term relations, that are otherwise hidden to typical corpora mining methods.

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cover image ACM Conferences
HT '11: Proceedings of the 22nd ACM conference on Hypertext and hypermedia
June 2011
348 pages
ISBN:9781450302562
DOI:10.1145/1995966
  • General Chair:
  • Paul De Bra,
  • Program Chair:
  • Kaj Grønbæk
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Publication History

Published: 06 June 2011

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  1. games with a purpose
  2. human computing
  3. term network

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HT '11
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HT '11: 22nd ACM Conference on Hypertext and Hypermedia
June 6 - 9, 2011
Eindhoven, The Netherlands

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