Resource Description Framework


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Resource Description Framework

(World-Wide Web, specification, data)
(RDF) A specification being developed in 2000 by the W3C as a foundation for processing meta-data regarding resources on the Internet, including the World-Wide Web.

Resource Description Framework data consists of resources (nodes), and property/value pairs describing the resource. A node is any object which can be pointed to by a URI, properties are attributes of the node, and values can be either atomic values for the attribute, or other nodes. For example, information about a particular web page (a node), might include the property "Author". The value for the Author property could be either a string giving the name of the author, or a link to a resource describing the author.

Resource Description Framework only specifies a mechanism for encoding and transferring meta-data. It does not specify what that meta-data should, or can be. RDF does not, for example, define an "Author" attribute. Sets of properties are defined within RDF Vocabularies (or Schemas). Anynone can create an RDF schema, describing a specialized set of properties, by creating a resource, referenced by the Schema URI, which provides a human- and machine-understandable definition of the schema's properties. The description of a node may include properties defined in different schemas. The properties within a resource description are associated with a certain schema definition using the XML namespace mechanism. Schemas currently being developed include a content screening system modeled after PICS, and a bibliographic vocabulary, such as the Dublin Core Initiative.

http://w3c.org/RDF/.

W3C Resource Description Framework-RDF Model and Syntax Specification.
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Even though fundamental technological components are available like, for example, the Resource Description Framework (RDF) and Web Ontology Language (OWL), there is still an evolving discussion on relevant vocabularies and the ability to easily export, publish and make discoverable such data sets; technological barriers include issues related to: knowledge representation, data fusion, integration and standardization, data quality and validation.
Employing the unifying mechanism of the semantic web and the resource description framework, Professor Hider integrates the various traditions and practices of information and knowledge organization.
In chapter 6, "Enabling Technologies for Metadata," and chapter 7, "The Semantic Web," Pomerantz provides a high-level overview of advanced concepts in metadata practices and use, such as the Resource Description Framework and linked data.
The Knowledge Graph Feed is the first RDF (Resource Description Framework) graph format for financial markets."
Resources--such as web ontology language (OWL), resource description framework schema (RDFS), and SPARQL, a resource description framework (RDF) query language--that are needed to structure and search information are presented.
Among detailed topics are knowledge organization systems and ontologies, the resource description framework, ontologies for representing ontologies, the ideal ontology discovery tool, approaches to building an ontology, interrogating ontologies for re-use, and the practical development of ontologies.
The Resource Description Framework (RDF) (RDF Working Group, 2014) is a datamodel for objects ("resources") and relations between them and provides simple semantics which in turn can be represented using XML syntax.
This includes four main types, from oldest to newest: tabular or flat file data, relational data, meta-markup (such as XML), and resource description framework (RDF).
It is based on information and machine interpretable metadata language expressed in RDF (Resource Description Framework).
Resource Description Framework (RDF) and Topic Maps are the two prominent standards of Semantic Web developed for machine processing of web contents.
Standards painstakingly developed during this period are there for the taking: web ontology language (OWL), resource description framework (RDF), and ontology inference layer (OIL), to name a few.
Jena is another Web system used to afford a programmatic environment for RDF, Resource Description Framework Schema (RDFS), OWL, and SPARQL includes a rule-based inference engine.

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