Using Dublin Core to Facilitate Cross-Collection Searches in an Enterprise Image Repository

Kevin J. Hegg, Andreas R. Knab

Abstract


The Madison Digital Image Database (MDID) is an Internet-based content delivery system designed to allow instructors to teach with digital images and image catalog data. James Madison University (JMU) is currently developing an enterprise-level version of the MDID that will support custom catalogs, multiple collections, and cross-collection searches. The new MDID relies on Dublin Core (DC) to facilitate cross-collection searches. We anticipate that Dublin Core will also make catalog customization, data exchange and system interoperability easier. This poster describes the implementation of Dublin Core in a relational database, the mechanism for conducting cross-collection searches, and other benefits of using Dublin Core in the new MDID.

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