What value does Linked Data bring to Ontologies and Vocabularies?

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Linked Data is simply about identifying entities (things) using hyperlinks (specifically, HTTP URIs) and describing them using RDF sentences where said HTTP URIs identify the sentence subject, predicate, and object (optionally, since this can also be a literal).

There is something really important about Linked Data with regards to Ontologies.

Deploying RDF sentences using Linked Data principles makes it possible for one to lookup the meaning of a term using the same follow-your-nose pattern that underlies the entire World Wide Web experience.

Linked Data is about making Structured Data Representation webby or web-like via HTTP URIs.

An ability to look-up a term has the following benefits:

  1. Terminology appreciation

  2. Broader use and creation of Glossaries.

Here are some examples that aren’t possible without the virtues of Linked Data:

  1. OpenLink Ontology for Crunchbase Database

  2. Visualizing OpenLink Ontology for Crunchbase Database

  3. Using Crunchabase Ontology as “Context Lenses” into one of our Databases that contains individuals (or class instances) from the Crunchbase Ontology .

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