Artificial Intelligence

ESWC 2013 Best paper award to Pedro Szekely, Craig Knoblock and collaborators

Pedro Szekely and Craig Knoblock, together with collaborators, received the best in-use paper award for their paper "Connecting the Smithsonian American Art Museum to the Linked Data Cloud.", Szekely, P.; Knoblock; A, C.; Fengyu, Y.; Zhu, X.; Fink, E.; Allen, R.; and Goodlander, G. In Proceedings of the 10th Extended Semantic Web Conference, Montpellier, May 2013.

The paper describes the process and lessons learned in publishing data from the Smithsonian American Art Museum (SAAM). It highlights complexities of the database-to-RDF mapping process, discuss the experience of linking the SAAM dataset to hub datasets such as DBpedia and the Getty Vocabularies, and presents their experience in allowing SAAM personnel to review the information, to verify that it meets the high standards of the Smithsonian. Using the authors' tools, they helped SAAM publish high-quality linked data of their complete holdings (41,000 objects and 8,000 artists).

The SAAM linked data is now deployed: each time you visit an artist page in the Smithsonian American Art Museum web site (e.g., http://americanart.si.edu/collections/search/artist/?id=4253), a SPARQL query is issued to retrieve links to Wikipedia and the NY Times on the linked data cloud.

This award recognizes the leading role that USC is playing in working with museums to publish their metadata in the linked open data cloud. The USC Karma tool lowers the technical barriers to convert the data in the museum's databases to linked data, working towards a vision where every museum is empowered to contribute its data to the linked data cloud. The dataset the authors produced is the most richly-linked museum dataset published and provides an example for other museums to follow.

The paper is available at http://bit.ly/11X5YPo and the slides at http://slidesha.re/18vxMnn

Congratulations to Pedro and Craig! 

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