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# 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](https://wefindx.net) 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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