Open Data is data that can be freely used and distributed by anyone to use, reuse, and redistribute. It requires data to be available, which means the data must be in the public domain or under license conditions that allow users to use the data without restriction.
Linked Data are datasets that make use of clear, unique identifiers that allow elements and relationships in different datasets to be identified as referring to the same thing. Linked data systems are built on a standard of World Wide Web (Web or Internet) technologies which enable linked data to become a global database. Linked Data enables links between datasets that are understandable to both humans and machines.
Open Data is not the same as Linked Data. Linked Data need not be Open Data, and Open Data need not be Linked Data. Open Data is available to everyone without links to other data. At the same time, data can be linked without being freely available for reuse and distribution. Linked Data is enabled through a set of design principles for sharing machine-readable interlinked data on the Web. Linked Data enables the creation of a global network of data. The resulting network can automatically answer complex queries and analytics by searching the network of information and finding matches (known as Data Graph Traversal).
Linked Open Data is a blend of Linked Data and Open Data: it is both linked and uses open sources. The benefits of Linked Open Data: it breaks down information silos between various formats (often disparate sources and formats), facilitates the extension of data models, and allows for easy updates. The resulting data integration enables easier and more efficient searching through complex databases for information.
Main principles of the Linked Open Data:
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