The Dublin Core metadata element set is a standard in the fields of library and computer science. It is intended to be used for cross-domain information resource description. It defines conventions for describing things online in ways that make them…
This document is a news item in the Cover Pages resource. The Cover Pages is a comprehensive Web-accessible reference collection supporting the SGML/XML family of (meta) markup language standards and their application. The principal objective in this…
Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to…
This document is a news item in the Cover Pages resource. The Cover Pages is a comprehensive Web-accessible reference collection supporting the SGML/XML family of (meta) markup language standards and their application. The principal objective in this…
This document is a news item in the Cover Pages resource. The Cover Pages is a comprehensive Web-accessible reference collection supporting the SGML/XML family of (meta) markup language standards and their application. The principal objective in this…
Just found this JISC final report: MetaTools - Investigating Metadata Generation Tools [pdf]. If you are interested in the automatic generation of metadata and current tools out there for generating Dublin Core metadata, this report is for you. (It…
Techniques fondamentales relatives aux métadonnées (Dublin Core, RDF, XMP), en particulier celles qui appliquées aux images (IPTC, EXIF, DIG35, JPX) et à la presse (PRISM, NewsML, NITF)
Techniques fondamentales relatives aux métadonnées (Dublin Core, RDF, XMP), en particulier celles qui appliquées aux images (IPTC, EXIF, DIG35, JPX) et à la presse (PRISM, NewsML, NITF)
Techniques fondamentales relatives aux métadonnées (Dublin Core, RDF, XMP), en particulier celles qui appliquées aux images (IPTC, EXIF, DIG35, JPX) et à la presse (PRISM, NewsML, NITF)