Abstract:
We describe the refacloring process of the RelEx2Frame component of OpenCog AGI Framework, a method
for expanding concept variables used in RelEx and automatic generation of a common sense knowledge base
specifically with relation to concept relationships. The well-known Drools rule engine is used instead of handcoded
rides; an asynchronous concurrent architecture and an indexing mechanism are designed to gain
performance of re-factored RelEx2Frame. WordNet aided supervised learning mechanism is applied to expand
concept variables. Association mining is used on semantic frames acquired through processing an instance of
Wikipedia in order to generate a common sense knowledge base.
