ARTigo – Social Image Tagging [Dataset and Images]

Citation: Becker, Matthias and Bogner, Martin and Bross, Fabian and Bry, François and Campanella, Caterina and Commare, Laura and Cramerotti, Silvia and Jakob, Katharina and Josko, Martin and Kneißl, Fabian and Kohle, Hubertus and Krefeld, Thomas and Levushkina, Elena and Lücke, Stephan and Puglisi, Alessandra and Regner, Anke and Riepl, Christian and Schefels, Clemens and Schemainda, Corina and Schmidt, Eva and Schneider, Stefanie and Schön, Gerhard and Schulz, Klaus and Siglmüller, Franz and Steinmayr, Bartholomäus and Störkle, Florian and Teske, Iris and Wieser, Christoph: ARTigo – Social Image Tagging [Dataset and Images]. 15. November 2018. Open Data LMU. 10.5282/ubm/data.136

Abstract

ARTigo is a platform that uses crowdsourcing to gather annotations (tags) on works of art (see http://www.artigo.org/). The dataset is compromised of 54.497 objects, which are associated with 18.492 artists (11.519 of which are either anonymous or unknown), 295.343 German-, French-, English-language tags, and 9.669.410 taggings. It is based on a cleansed database dump dated November 15, 2018. The cleansing concerned only the metadata of the objects; tags and taggings are provided „as is“. A current but uncleansed version of the data is available via a RESTful API at: http://www.artigo.org/api.html. The data is licensed under Creative Commons BY-NC-SA 4.0. If you are unsure whether your project is a commercial use, please contact us at: [e-mail].

Keywords

Game With a Purpose, Social Tagging, Digital Humanities, Digital Art History

Source

http://www.artigo.org/

References

Bry, François; Schefels, Clemens; Schemainda, Corina (2018): Eine qualitative Analyse der ARTigo-Annotationen. In: Kuroczyński, Piotr; Bell, Peter; Dieckmann, Lisa (Eds.): Computing Art Reader: Einführung in die digitale Kunstgeschichte, Heidelberg, S. 97–114.

Kohle, Hubertus (2012): Kunstgeschichte goes Social Media. Laien optimieren eine Bilddatenbank – mit einem digitalen Spiel. In: Aviso: Zeitschrift für Wissenschaft und Kunst in Bayern, Nr. 3.

Schneider, Stefanie; Kohle, Hubertus (2017): The Computer as Filter Machine: A Clustering Approach to Categorize Artworks Based on a Social Tagging Network. In: Artl@s, Vol. 6, Nr. 3: S. 81–89.

Wieser, Christoph; Bry, François; Bérard, Alexandre; Lagrange, Richard (2013): ARTigo: Building an Artwork Search Engine With Games and Higher-Order Latent Semantic Analysis. In: Proceedings of Disco 2013, Workshop on Human Computation and Machine Learning in Games at HComp, Palm Springs, CA, USA.

• Item Type: Data
• Contact Person: Kohle, Hubertus
• E-Mail of Contact: hubertus.kohle at lmu.de
• URL of Contact: https://www.kunstgeschichte.uni-muenchen.de/personen/professoren_innen/kohle/index.html
• Subjects: Faculty of History and the Arts; Faculty of Mathematics, Computer Science and Statistics
• Dewey Decimal Classification: 000 Computers, Information and General Reference; 700 Arts and recreation; 700 Arts and recreation > 720 Architecture; 700 Arts and recreation > 750 Paintings and paintings (museums); 700 Arts and recreation > 770 Photography and photographs