A new “ontology game” has recently been announced, as a “game with a purpose” to help get humans to categorize objects properly according to a formal ontology.
How it Works
The game operates in a way that’s similar to Google’s image tagging application; pairs of users who do not know one another are presented with the abstract from a Wikipedia page, and they have to choose categories in an upper ontology that accurately describe the article. (E.g. does it correspond to an abstract concept? An agent? A happening?) Users get points when both users choose the same answer to categorize an article. As the game goes on, the categorization gets more and more specific until it “bottoms out” in the upper ontology. At that point, you jump to a new article and start the process over again.
In terms of gameplay, it feels a little bit rough in part because the game doesn’t choose the articles very intelligently. (In one case, I got the same article twice in a row) Also, after you tag 5-6 different articles, the player has a good working knowledge of the taxonomy of the upper ontology, and it becomes less fun as the game devolves into categorization along lines you’ve seen many times before. The key difference here from Google’s image tagging game is that in Google’s game, people enter free-form words, so your input is almost limitless. Oh, and one other thing – in order to categorize properly, you have to read the 2-3 sentence descriptions of what the categories mean, which can take some time the first time around when you have 6-7 categories to choose from.
These don’t appear to me though to be fatal problems for the game, just teething problems. It could be fun if the data set was widened substantially, and the category choice perhaps narrowed a bit. And of course in the background, they’re building an interesting data set mapping Wikipedia articles to high-level concepts of what they represent.
We are proud to release the first one in our series of online computer
games that turn core tasks of weaving the Semantic Web into challenging
and interesting entertainment – check it out today athttp://www.ontogame.org/
A very early paper written in late Summer is in Springer LNCS Vol.
4806, 2007, pp. 1222-1232 .
A complete Technical Report including our quantitative evidence and video footage will be released shortly on our project Web page at http://www.ontogame.org/
The next series of games for other tasks of building the Semantic Web is already in the pipeline, so please stay tuned 🙂
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What is it good for?
Despite significant advancement in technology and tools, building ontologies, annotating data, and aligning multiple ontologies remain tasks that highly depend on human intelligence, both as a source of domain expertise and for making conceptual choices. This means that people need to contribute time, and sometimes other resources, to this endeavor.
As a novel solution, we have proposed to masquerade core tasks of weaving the Semantic Web behind on-line, multi-player game scenarios, in order to create proper incentives for humans to contribute. Doing so, we adopt the findings from the already famous “games with a purpose” by von Ahn, who has shown that presenting a useful task, which requires human intelligence, in the form of an on-line game can motivate a large amount of people to work heavily on this task, and this for free.
Since our first experiments in May 2007, we have gained preliminary evidence that (1) users are willing to dedicate a lot of time to those games, (2) are able to produce high-quality conceptual choices, and, by doing so, (3) can unknowingly weave the Semantic Web.
Acknowledgments: OntoGame is possible only thanks to the hard work of the OntoGame team – special thanks to Michael Waltl, Werner Huber, Andreas Klotz, Roberta Hart-Hiller, and David Peer for their dedication and continuous contributions! The work on OntoGame has been funded in part by the Austrian BMVIT/FFG under the FIT-IT Semantic Systems project myOntology (grant no. 812515/9284), http://www.myontology.org, which we gratefully acknowledge.
And now…. play and enjoy!
Martin Hepp and Katharina Siorpaes