Abstract
AbstractThis article reports on a quantitative categorical analysis of metadata elements in the Dublin Core, VRA Core, REACH, and EAD metadata schemas, all of which can be used for organizing and describing images. The study found that each of the examined metadata schemas contains elements that support the discovery, use, authentication, and administration of images, and that the number and proportion of elements supporting functions in these classes varies per schema. The study introduces a new schema comparison methodology and explores the development of a class‐oriented functional metadata schema for controlling images across multiple domains.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of the American Society for Information Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.