The Cover Pages: XML Schema for RDF
Go to the resource directly at http://xml.coverpages.org/xmlSchemaForRDF.html
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Dublin Core
Title
The Cover Pages: XML Schema for RDF
Description
This document contains information relevant to 'XML Schema for RDF' and is part of 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 public access knowledgebase is to promote and enable the use of open, interoperable standards-based solutions which protect digital information and enhance the integrity of communication. Some of the standards covered include SGML (Standard Generalized Markup Language), XML (Extensible Markup Language), W3C XML Schema, Other XML Schema Languages (RELAX NG, Schematron, DSDL), XSL (Extensible Stylesheet Language), XSLT (XSL Transformations), XPath (XML Path Language), XLink (XML Linking), XML Query, XHTML (Extensible HyperText Markup Language), DOM (Document Object Model), XPointer (XML Pointer Language), HyTime, RDF, Topic Maps, DSSSL, CSS (Cascading Style Sheets), SPDL, SVG (Scalable Vector Graphics), CGM, ISO-HTML, etc. A secondary objective in The Cover Pages is to provide reference material on enabling technologies compatible with descriptive markup language standards and applications: object modeling, semantic nets, ontologies, authority lists, document production systems, and conceptual modeling. The reference collection contains over 9000 documents covering more than 700 topics on markup language technologies.
Publisher
OASIS, Organization for the Advancement of Structured Information Standards
Rights
Copyright to metadata belongs to Continuing Education Metadata Project. Content Copyright: OASIS, Organization for the Advancement of Structured Information Standards
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text/html; charset=us-ascii 14.01 KB
Identifier
http://xml.coverpages.org/xmlSchemaForRDF.html
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Citation
Robin Cover, “The Cover Pages: XML Schema for RDF,” Continuing Education on New Data Standards & Technologies, accessed January 20, 2021, http://acva2010.cs.drexel.edu/omeka/items/show/32613.