It was up until the emergence of generative A.I., that data had to be handled by a team of human brains, each specialized in a specific area of data modeling and design.
With A.I., I am a one man army
I use OpenAI GPT API to help me map out your data first. Then, also using the A.I., help identify the connections between the terms in your data. Here’s a medium-complexity example of a data hierarchy in a scientific data model of chemical compounds.
- Chemical Compound
- Formula
- Periodic Table Properties
- Block
- Group
- Period
- Basic Atomic Properties
- Atomic symbol
- Atomic number
- Atomic mass
- Melting point
- Boiling point
- Chemical Properties
- Valence
- Electronegativity
- Electron affinity
- Atomic size
- Atomic radius
- Covalent radius
- Van der Waals radius
- Abundance properties
- Universe
- Solar
- Meterorite
- Crust
- Ocean
- Human
- Crystallographic properties
- Lattice angles
- Lattice constants
- IUCr space group number
- Electromagnetic properties
- Volume magnetic susceptibility
- Mass magnetic susceptibility
- Molar magnetic susceptibility
- Discovery properties
- Discovery year
- Discovery country
- Discoverers
Connections are simply placing terms that belong to another term in their correct hierarchies.
Once data is modeled, and this model resides in a database, your data is ready to be used in any form. On a website, in an application, in an online store and so on.
