Researching semantic knowledge graphs (2021 - Present)

Independently researching structures of information and knowledge, and how to make semantically typed information generalizable and transferrable.

Both in a personal and, to lesser extent, in a corporate setting.

In practice, this involves how we should structure information, especially natural language information, in order to extract more novel insights and make it possible to integrate knowledge systems together.

Created product specs (focused on the use case in Logseq) and working with plugin developers to begin implementation.

Learned basic Category Theory and researched applied use cases to build a footing for the state of the art in the semantic knowledge graph space.