Well Defined Concepts Library

As a pure mathematician, whatever field you turn to, you find a vernacular that people use -- be it physics, or economy -- the various concepts from temperature to assets price, have rather specific definitions, in context of specific instrumentation and accounting standards. (Measuring asset price, needs equilibrium of supply and demand of your asset in some specific market. Measuring temperature may need equilibrium of energy exchange with your mercury inside the thermometer).

Suppose you want to stay at abstract level, and not load your brain with all that vernacular (like "Market price," "Temperature," etc.), and just want to model input-output scenarios to apply decision theory to decide what to do and what's most valuable, and yet communicate with the society, in a language that they immediately understand.

For example, business valuation layer of society may rely on vernacular, with words like EBITDA, CAGR, NOPAT, NWCTR, FATR, FCFF, NIBD,.. etc. which are very specific terms, in context of specific accounting systems, and they **mean** very specific things, like acceleration to a physicist, that doesn't want to think about each molecule, because their brain has layers of neurons trained to take those metrics as input to make decisions.

Being that these characteristics are just derivative features of Input-Output processes, and you have input-output data, you can compute them, no problem. You just need a convenient reference to what are the concepts that a target population makes decisions with, and apply them on your data types.

A library, that takes a Wikipedia page URL, and returns a formula corresponding to the index of that formula, with well-defined domains and codomains, so you can conveniently use it in your CAS system, or your programming language.

NOTE: Could be not limited to Wikipedia, but with capability to support many other URLs with computational formulae described in a less unstructured, less rigorous way.