This page summarizes the relationships among specifications, whether they are finished standards or drafts. Below, each title links to the most recent version of a document. For related introductory information, see: Data, Linked Data.
W3C Recommendations have been reviewed by W3C Members, by software developers, and by other W3C groups and interested parties, and are endorsed by the Director as Web Standards. Learn more about the W3C Recommendation Track.
Group Notes are not standards and do not have the same level of W3C endorsement.
This document describes and includes test cases for software agents that extract RDF from XML source documents by following the set of mechanisms outlined in the Gleaning Resource Description from Dialects of Language specification.
GRDDL is a mechanism for Gleaning Resource Descriptions from Dialects of Languages. This GRDDL specification introduces markup based on existing standards for declaring that an XML document includes data compatible with the Resource Description Framework (RDF) and for linking to algorithms (typically represented in XSLT), for extracting this data from the document.
The markup includes a namespace-qualified attribute for use in general-purpose XML documents and a profile-qualified link relationship for use in valid XHTML documents. The GRDDL mechanism also allows an XML namespace document (or XHTML profile document) to declare that every document associated with that namespace (or profile) includes gleanable data and for linking to an algorithm for gleaning the data.
GRDDL is a mechanism for Gleaning Resource Descriptions from Dialects of Languages. It is a technique for obtaining RDF data from XML documents and in particular XHTML pages. Authors may explicitly associate documents with transformation algorithms, typically represented in XSLT, using a link element in the head of the document. Alternatively, the information needed to obtain the transformation may be held in an associated metadata profile document or namespace document. Clients reading the document can follow links across the Web using techniques described in the GRDDL specification to discover the appropriate transformations. This document uses a number of examples from the GRDDL Use Cases document to illustrate, in detail, the techniques GRDDL provides for associating documents with appropriate instructions for extracting any embedded data.
GRDDL is a mechanism for Gleaning Resource Descriptions from Dialects of Languages. It is a technique for obtaining RDF data from XML documents and in particular XHTML pages. This document provides some use cases that motivated the development of GRDDL.