Our Entity Linking service is now in beta! Entity linking is a huge milestone for us because it transforms Extractiv's semantic output into linked data by automatically determining the identity of each entity mentioned in your text and associating it with a DBpedia URI whenever one exists.
Entity linking is tricky because names often have multiple meanings. For example, "Python" might refer to a type of snake, a programming language, a comedy troupe, or a number of other things. By intelligently using context, the linking service figures out which meaning makes the most sense and generates a DBpedia link accordingly.
Any type of entity may be linked as long as it has a URI in DBpedia. DBpedia is a companion project to Wikipedia whose goal is to provide a machine-readable version of Wikipedia in RDF format. We plan to eventually add links to other public knowledge bases, but we started with DBpedia because its URIs are already used to denote real-world entities in a wide variety of data sets, and because, with millions of topics, it provides very broad coverage.
All of our output formats (HTML, JSON, and of course RDF/XML) support entity links, but linking is currently only available using the On-Demand platform. Support for linking in the Crawling platform is coming soon. Check our documentation for more details.