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:

  1. Unambiguous identity for entities (aka. strong identifiers)
  2. Implicit binding of an entity and its metadata via strong identifiers
  3. Multiple metadata representations that enable a variety of presentations
  4. 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.

[OpenLink Software]

About: nodeID://b19122525

An Entity of Type : Content Class, from Data Source : https://blog.schema.org/feed, within Data Space : dev.restore.ovi.cnr.it:8890

  • References
  • Referenced By
body relation
  • Over the past few years we have seen a number of application areas benefit from Schema.org markup. Schema.org discussions have often centered around the importance of ease of use, simplicity and adoption for publishers and webmasters. While those principles will continue to guide our work, it is also important to work to make it easier to consume structured data, by building applications and making more use of the information it carries. We are therefore happy to welcome the new Data Commons initiative, which is devoted to sharing such datasets, beginning with a corpus of fact check data based on the schema.org ClaimReview markup as adopted by many fact checkers around the world. We expect that this work will benefit the wider ecosystem around structured data by encouraging use and re-use of schema.org related datasets.

source
  • https://blog.schema.org/feed
type
  • Content Class
described by
  • https://blog.schema.org/feed
content
  • Datacommons.org and Schema.org
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 Creative Commons License Valid XHTML + RDFa
This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
OpenLink Virtuoso version 07.20.3231, on Linux (x86_64-generic_glibc25-linux-gnu), Single Edition