To make the data on the web more manageable and accessible, it is necessary to make that data well described, structured and interlinked using some web technologies so that it gives user better experience in searching and accessing information.
Linked data makes the web of data more structured, organized and accessible. Linked data is a method of describing data on the web in order to link with related data to make the browsing more efficient. It uses standard web technologies such as HTTP, URIs and RDF in order to serve information to the computers.
It is also called the collection of interrelated datasets on the web. Examples of large linked datasets are Wikidata and DBpedia. DBpedia essentially makes the content of Wikipedia in RDF (Resource Description Framework). Not only this, It incorporates links to other datasets on the web and by incorporating those extra links (in form RDF triples) application may provide a much better user experience in terms of getting related knowledge on a particular topic.
The inventor of the World Wide Web Tim Berners-Lee has stated the four principles of Linked data in his 2006 design note.
Linked Open Data
Like many other terms open education, open access, open source, etc. Open data is also the data which is free from any copyright laws and accessible to everyone to use, reuse and share. when related open data is interlinked then it is called Linked Open Data. Example of DBpedia given above is Linked Open Data example.
Like many other terms open education, open access, open source, etc. Open data is also the data which is free from any copyright laws and accessible to everyone to use, reuse and share. when related open data is interlinked then it is called Linked Open Data. Example of DBpedia given above is Linked Open Data example.
To know more: https://en.wikipedia.org/wiki/Linked_data
https://www.w3.org/standards/semanticweb/data
Image credit: https://goo.gl/images/k5vMDp
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