Poster

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

  • Kevin J. Hegg
  • Andreas R. Knab
  • Center for Instructional Technology James Madison University, USA
Published
Access and licence
Open access CC BY 4.0
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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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Article details

Published
Section
Posters
DOI
10.23106/dcmi.952107515
License
CC BY 4.0 · open access

Indexed in

Described in Dublin Core

This article's metadata, in the vocabulary these proceedings are about.

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:publisher
Dublin Core Metadata Initiative
dcterms:type
Text
dcterms:language
en
dcterms:rights
CC BY 4.0