The concept of linked data is a set of practices introduced by Tim Berners-Lee web architecture notes " Linked Data ," with the function of publishing and structuring data on the web.

These practices have been increasingly adopted, leading to the creation of what we know as the Web of Data .

In the context of the Semantic Web , the function is not only to present the data, but to enable both people and machines to explore the Web of Data.

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To obtain and create linked data, technologies must be available for a common format ( RDF ), to perform conversion or real-time access to existing databases (relational, XML, HTML , etc.).

It is also important to be able to configure query to access this data more conveniently. The W3C provides a palette of technologies (RDF, GRDDL, POWDER, RDFa , the upcoming R2RML, RIF, SPARQL) to gain access to the data.

Linked Data and Semantic Web

The Semantic Web is a Web of Data – of dates and titles and part numbers and chemical properties and any other data one can conceive of.

The collection of Semantic Web technologies (RDF, OWL , SKOS, SPARQL, etc.) provides an environment where the application can query this data, make inferences using vocabularies, etc.

What are linked data used for?

Linked data is at the heart of the Semantic Web: large-scale integration of, and reasoning about, data on the web.

Almost all the applications listed, say, in the Semantic Web Case Studies and Use Cases collection are essentially based on the accessibility and integration of Linked Data at various levels of complexity.

Linked Data by Tim Berners-Lee

Twenty years ago, Tim Berners-Lee invented the World Wide Web. In his next project, he is building a network that will link data, doing to numbers what the Web did to words, images, and videos: Free your data and restructure how you use it.