Text Mining & Graph Databases - Two Technologies that Work Well Together - Ontotext | Data Science | Scoop.it

Graph databases, also known as triplestores, have a very powerful capability – they can store hundreds of billions of semantic facts (triples) from any subject imaginable.  The number of free semantic facts on the market today from sources such as DbPedia, GeoNames and others is high and continues to grow every day.   Some estimates have this total between 150 and 200 billion right now.   As a result, Linked Open Data can be a good source of information with which to load your graph databases. Linked Open Data is one source of data. When does it become really powerful?  When you create your own semantic triples from your own data and use them in conjunction with linked open data to enrich your database. 


Via Tony Agresta, João Greno Brogueira