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Linked Data is about communities agreeing on the meaning of their data and sharing it in a massively networked information space. This vision is taking shape in many sectors, including e-commerce, medicine, scientific research, and government services.
The Benefits of Linked (Open) Data As a result, data integration and browsing through complex data become easier and much more efficient. In semantic graph databases, the linking of disparate sources and formats enables the inference of new knowledge out of existing facts.
The Benefits of Linked (Open) Data It facilitates the extension of the data models and allows easy updates. As a result, data integration and browsing through complex data become easier and much more efficient.
Examples of large linked open data sets include DBpedia and Wikidata. A suite of semantic web standards developed by the Worldwide Web Consortium (W3C). These standards create a structure for making simple statements about resources so that machines can interpret relationships.
Data linkage is the practice of attaching or linking to sources of information. This practice provides context to your actions, allowing others to easily see what you are referring to.
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Linked Data makes the Web a HUGE database However, many times the data is buried in in database silos in organizations. Linked data is about making data available in standard ways so that others can use and link to. This is essential to connect the data we have into a web.
Examples of large linked open data sets include DBpedia and Wikidata. A suite of semantic web standards developed by the Worldwide Web Consortium (W3C). These standards create a structure for making simple statements about resources so that machines can interpret relationships.
The goal of the Linking Open Data project is to build a data commons by making various open data sources available on the Web as RDF and by setting RDF links between data items from different data sources.

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