Artificial Intelligence Knowledge Information Framework

This is an information classification framework that maps structured or freeform data to a standard knowledge store.

Raw data is collected via Agents and the Mapper uses your business rules to convert and store the information in a machine usable format (by linking to ontologies).

Your AI software can link to AIKIF by setting up logging watch-points to define success / failure along with the range of input parameters. Goals and plans are defined by breaking them down to smaller tasks until the task can be run by a tool in the Toolbox.


This is very much an experimental work in progress - the source code works (unless stated otherwise in the comments), but the structures and modules are in a frequently evolving state.