Dear all,
We would like to invite you to try the latest creation of
WhoKnows?Movies! [1]
WhoKnows?Movies! is a GWAP (game with a purpose) that asks quiz
questions about famous movies. The data comes from Freebase. We also
have a high score list which we will keep online for eternity (you can
mention it in your CV)!
Game with a purpose - "but what actually is the purpose?":
Summarizing entities individually in accordance to the relevance of
specific property-value pairs has gained focus of recent efforts by
research (e.g. [2]) and also industry (e.g. [3]). Unfortunately, such
summaries are hard to evaluate due to the lack of a gold standard. In
our paper - accepted for this year's ISWC Experiments and Evaluation
track - we address this issue with a GWAP. We have published a first
(anonymized) excerpt of the data gathered via the game at [4]. However,
such a dataset is never complete and we want to provide an enhanced
version for the camera ready version of the paper. More information can
be found on [5].
Kind Regards,
Andreas
[1] http://j.mp/WhoKnowsMovies
[2] Gong Cheng, Thanh Tran and Yuzhong Qu. "RELIN: Relatedness and
Informativeness-based Centrality for Entity Summarization"
(http://iswc2011.semanticweb.org/fileadmin/iswc/Papers/Research_Paper/09/70310113.pdf)
[3]
http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
("2. Get the best summary")
[4] http://www.yovisto.com/labs/iswc2012/
[5]
http://moresemantic.blogspot.co.at/2012/08/who-knows-movies-2nd-round.html
--
Andreas Thalhammer
PhD Student
Semantic Technology Institute
University of Innsbruck
http://www.sti2.at/
phone: +43 (0) 512507 6454
email:andreas.thalham...@sti2.at
