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A utility to extract world models of information sources.

Project description

# metaparse

This is to be a machine learning project to extract metainformation about information sources, such as agents online that share information.

## Problem specification

Given some data from an information source I, recognize its [intent about content]( towards the world, answering following questions about the information source and its information content:

  • F(domain).assets:
  • .Agent (who?)
  • .Place (where?)
  • .Event (when?)
  • .Topic (about what?)
  • X(process).actions:
  • . doing (doing what?)
  • Y(range).targets:
  • .Goal (why?)
  • .Idea (how in principle?)
  • .Plan (what specifically?)
  • .Step (in what order?)

This will allow to treat every information source as an instance of equation optimization process F(X)=Y, where the actions of agents are explained by their intents (Y) about content their world model (F).

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Files for metaparse, version 0.0.1
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