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Latest revision as of 12:56, 18 March 2025

Linked Data is a method of structuring, connecting, and publishing structured data on the web to make it more useful and accessible. It is a key component of the Semantic Web, a vision for the future of the web where information is easily understandable and usable by both humans and machines.

Overview[edit]

Linked Data is based on the use of Uniform Resource Identifiers (URIs) to name things, and the use of HTTP URIs so that these things can be looked up and their properties and relationships discovered. It also involves the use of standards such as Resource Description Framework (RDF) and SPARQL, a query language for RDF.

Principles[edit]

The concept of Linked Data was first outlined by Tim Berners-Lee in 2006, who proposed four principles:

  1. Use URIs to name things.
  2. Use HTTP URIs so that these things can be looked up and referred to.
  3. When someone looks up a URI, provide useful information in a standard format such as RDF.
  4. Include links to other URIs in the data you provide, so that people can discover more things.

Applications[edit]

Linked Data has a wide range of applications, from enhancing web search to enabling more intelligent digital assistants. It is also used in various sectors such as healthcare, government, and education to improve data interoperability and accessibility.

Challenges[edit]

Despite its potential, Linked Data also faces several challenges, including issues related to data privacy, data quality, and the need for standardization.

See also[edit]

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