What Is This?

This is an HTML+RDFa representation of metadata describing this Web-addressable resource.

Why Is This Important?

The property (attributes and values pairs) links on this page unveil a different kind of link, one which enables the following on HTTP networks such as the Web:

Unambiguous identity for entities (aka. strong identifiers)
Implicit binding of an entity and its metadata via strong identifiers
Multiple metadata representations that enable a variety of presentations
High precision Search and Find queries that simply use the metadata documents (by referencing entity URIs) as the query's Data Source Name

How Do I Discover Alternative Metadata Representations?

This document exposes metadata in the following formats: (X)HTML+RDFa, Turtle, N3, RDF/JSON, or RDF/XML. In the most basic form, you can simply view the (X)HTML source markup of this page, and go directly to the <head/> section which contains a <link/> tag with relationship and type properties for each format.

In addition, you can also explicitly request a desired metadata representation for a given resource via HTTP GET requests that use the entity's strong identifier as the call target.

How Can I Expose My Web Resources In This Manner?

Simply include the following in the <head/> section of your (static or dynamically generated) (X)HTML page:

<link rel="alternate" title="My Data in RDF Linked Data form"
type="application/rdf+xml"
href="http://linkeddata.uriburner.com/about/id/<this-page-URL>/>"

How Is This Related To The Linked Data Meme?

As stated above, the links in this page expose strong identifiers for its primary topic, secondary topics, attributes, and some values. These links, via implicit association, act as conduits to their metadata-bearing documents, in a variety formats.

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Description	Gellish@Work provides knowledge and services for its members on the application of Gellish. This includes: - The Gellish Modeling Method - The Gellish language (Dictionaries, Taxonomies and Ontologies) - The Gellish Information Management Method
Title	Downloads
Subject	gellish, open source, product modeling, product modelling, knowledge modeling, knowledge modelling, BIM, building information model, facility information model, taxonomy, taxonomies, ontology, upper ontology, domain ontology, domain dictionary, requirements modeling, requirements modelling, semantic modeling, semantic modelling, semantic database, distributed database, ISO 10303-221, ISO 15926, reference data, data exchange, formal language, modelling language, electronic dictionary, data integration, universal data structure
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https://web.archive.org/web/2012113001...ontological-language.html#description	Gellish@Work provides knowledge and services for its members on the application of Gellish. This includes: - The Gellish Modeling Method - The Gellish language (Dictionaries, Taxonomies and Ontologies) - The Gellish Information Management Method
https://web.archive.org/web/2012113001...e-ontological-language.html#generator	Joomla! 1.5 - Open Source Content Management
https://web.archive.org/web/2012113001...le-ontological-language.html#keywords	gellish, open source, product modeling, product modelling, knowledge modeling, knowledge modelling, BIM, building information model, facility information model, taxonomy, taxonomies, ontology, upper ontology, domain ontology, domain dictionary, requirements modeling, requirements modelling, semantic modeling, semantic modelling, semantic database, distributed database, ISO 10303-221, ISO 15926, reference data, data exchange, formal language, modelling language, electronic dictionary, data integration, universal data structure
https://web.archive.org/web/2012113001...ible-ontological-language.html#robots	index, follow
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Alternative Linked Data Views: Facets | iSPARQL | ODE Raw Linked Data formats: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD

This material is Open Knowledge

W3C Semantic Web Technology

This material is Open Knowledge

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