SeaFish: A Game for Collaborative and Visual Image Annotation and Interlinking

  • Stefan Thaler
  • Katharina Siorpaes
  • David Mear
  • Elena Simperl
  • Carl Goodman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6644)

Abstract

Many tasks in semantic content creation, from building and aligning vocabularies to annotation or data interlinking, still require human intervention. Even though automatic methods addressing the aforementioned challenges have reached a certain level of maturity, user input is still required at many ends of these processes. The idea of human computation is to rely on the human user for problems that are impossible to solve for computers. However, users need clear incentives in order to dedicate their time and manual labor to tasks. The OntoGame series uses games to hide abstract tasks behind entertaining user interfaces and gaming experiences in order to collect knowledge. SeaFish is a game for collaborative image annotation and interlinking without text. In this latest release of the OntoGame series, players have to select images that are related to a concept that is represented by an image (from DBpedia) from a collection of images (produced by querying flickr TM wrappr with the respective concept). The data collected by SeaFish is published as Linked Data on the Web. In this paper we outline the SeaFish game and demo.

Keywords

Games for semantic content creation Image annotation Linked Open Data multimedia interlinking 

References

  1. 1.
    Berners-Lee, T.: Linked data - design issues (2006)Google Scholar
  2. 2.
    Hausenblas, M., Troncy, R., Raimond, Y., Bürger, T.: Interlinking multimedia: How to apply linked data principles to multimedia fragments. In: Linked Data on the Web Workshop, LDOW 2009 (2009)Google Scholar
  3. 3.
    Morrison, D., Marchand-Maillet, S., Bruno, E.: Tagcaptcha: annotating images with captchas. In: Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP 2009, pp. 44–45. ACM, New York (2009)CrossRefGoogle Scholar
  4. 4.
    Von Ahn, L.: Games with a purpose. IEEE Computer 29(6), 92–94 (2006)CrossRefGoogle Scholar
  5. 5.
    Von Ahn, L.: Peekaboom: A Game for Locating Objects in Images (2006)Google Scholar
  6. 6.
    Von Ahn, L., Blum, M., Hopper, N.J., Langford, J.: Captcha: Using hard ai problems for security (2003)Google Scholar
  7. 7.
    Ahn, L.v., Dabbish, L.: Labeling images with a computer game. In: CHI, pp. 319–326 (2004)Google Scholar
  8. 8.
    von Ahn, L., Ginosar, S., Kedia, M., Blum, M.: Improving Image Search with PHETCH. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, vol. 4, pp. IV-1209 –IV-1212 (2007)Google Scholar
  9. 9.
    Yan, J., Yu, S.-Y.: Magic bullet: a dual-purpose computer game. In: Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP 2009, pp. 32–33. ACM, New York (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Stefan Thaler
    • 1
  • Katharina Siorpaes
    • 1
  • David Mear
    • 3
  • Elena Simperl
    • 1
    • 2
  • Carl Goodman
    • 3
  1. 1.STI-InnsbruckUniversity of InnsbruckInnsbruckAustria
  2. 2.AIFBKarlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Pepper’s Ghost ProductionsLondonUK

Personalised recommendations