This article reports on an analysis of the semantic quality of artwork annotations that have been collected by the web platform ARTigo from 2008 to 2014. ARTigo is both, a gaming platform for collecting semantic annotations and a semantic search engine: While playing games featuring artworks, one leaves data describing these artworks that are automatically used for building up, and continuously improving, an artwork search engine.
ARTigo is an ecosystem consisting of different types of games aiming at collecting annotations of different semantic depth: Description games aim at collecting mere descriptions, diversification games aim at completing artwork descriptions with more specific characterizations, integration games cluster annotations so as to generate more precise descriptions.
The qualitative analysis this article reports about points to both, the effectiveness of ARTigo as a gaming ecosystem and the effectiveness of each of game at collecting annotations with the desired semantic depth.
Read the full publication:
http://www.en.pms.ifi.lmu.de/publications/PMS-FB/PMS-FB-2015-1/PMS-FB-2015-1-paper.pdf
