Database for Works of Art{2}

by Alexander H
Technology has a trend of being one step ahead of its consumers. Databases housing tons of information have continued to utilize their resources in order to predict and maximize the manner in which users will interact with the database. Carter Cleveland, a Computer Science Engineer from Princeton University, and Sebastian Cwilich, a former executive at Christie’s Auction House and Haunch of Venison Gallery, are teaming up to bring together a new way to appreciate and find works of art. seeks to build on the principles set forth by major companies, like Google, by implementing a database of artistic pieces in order to connect and recommend works of art for its users. This is completed by evaluating artworks using 800+ characteristics called “genes” across various pieces of art. These “genes” are essentially categories to identify artwork, such as historical movements, subject matter, and formal elements. The concept is designed to create an experience where the user can stumble upon works of art based on the “genes” that are appealing to the user. The database is still in an infant state, however, gaining the force of global leaders in the arts can move this project forward and create a central database for all works of art.

In our studies, we have seen data portrayed normally as numerical data and names of customers. However, this database is different due to the fact that it seeks to house information in regard to pieces of art rather than items and customers. This unique database has the ability to connect pieces of art into a powerful online platform much different from the normal uses of a database. The “genes” used to identify all artworks is a genius method to evaluate pieces of art and generate an experience that can be utilized by artists and the general public.

The ability to make such a database amazes me. This takes the concept of “tags” beyond words simply describing information. This database caters to a vast group of users and it can be used to benefit the learning of artistic pieces and facilitate sharing of artwork. I hope that this project gains steam and provides a cohesive method for artists all over the world.



DeLeon, Michael. ¬†“The Most Comprehensive Online Art Database Maps Connections Between Works”. March 30, 2012. ¬†Mashable. ¬†<> Retrieved May 27, 2012.