Abstract

Museums around the world have built databases with metadata about millions of objects, their history, the people who created them, and the entities they represent. This data is stored in proprietary databases and is not readily available for use. Recently, museums embraced the Semantic Web as a means to make this data available to the world, but the experience so far shows that publishing museum data to the linked data cloud is difficult: the databases are large and complex, the information is richly structured and varies from museum to museum, and it is difficult to link the data to other datasets. This paper describes the process of publishing the data of the Smithsonian American Art Museum (SAAM). We describe the database-to-RDF mapping process, discuss our experience linking the SAAM dataset to hub datasets such as DBpedia and the Getty Vocabularies, and present our experience in allowing SAAM …

Date

January 1, 1970

Authors

Pedro Szekely, Craig A Knoblock, Fengyu Yang, Eleanor E Fink, Shubham Gupta, Rachel Allen, Georgina Goodlander

Journal

International Journal of Humanities and Arts Computing

Volume

8

Issue

supplement

Pages

152-166

Publisher

Edinburgh University Press