Check out the demo running on Bluemix to experience what you can build.
This demo combines Watson's Natural Language Classifier, entity and concept extraction from Natural Language Understanding, and SPARQL queries into DBpedia (Wikipedia's RDF database).
Let's start with a few types of standard factoid questions and determine how we might answer them:
What is the capital of *?
Who is *'s spouse?
When was * born?
What is the birthplace of *?
What's the population of *?
.....
The full set of supported question types can be found in data/nlc_factoid_training.csv. They are grouped into these category types:
health-condition_cause
person-birthdate person-birthplace person-children person-net_worth
person-schooling person-spouse
place-areacode place-capital place-completion_date place-governor_mayor
place-height place-population
For more details about developing applications that use Watson Developer Cloud services in Bluemix, see Getting started with Watson Developer Cloud and Bluemix.
This sample code is licensed under Apache 2.0. Full license text is available in LICENSE. This sample uses jquery which is MIT license.
The techniques and code shared are my own and don't necessarily represent IBM's position, strategies or opinions. Anyone is free to use, copy, distribute, modify or sell the source code and other materials shown in this video and it is provided "as is" without warranties. I am not responsible for any harm or damage caused to your computer, software or anything else caused by this material.