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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- DC-2003--Seattle Proceedings
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- CC BY 4.0 · open access
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- dcterms:title
- Using Dublin Core to Facilitate Cross-Collection Searches in an Enterprise Image Repository
- dcterms:creator
- Hegg, Kevin J.
- Knab, Andreas R.
- dcterms:date
- 2003-09-28
- dcterms:identifier
- doi:10.23106/dcmi.952107515
- dcterms:subject
- Relational Database
- Collection
- Image
- Search
- Madison Digital Image Database
- dcterms:isPartOf
- DC-2003--Seattle Proceedings
- dcterms:publisher
- Dublin Core Metadata Initiative
- dcterms:type
- Text
- dcterms:language
- en
- dcterms:rights
- CC BY 4.0