In this video, I demonstrate a workflow for researching any topic using knowledge graph visualization as well as Obsidian and ChatGPT.
I recommend starting by generating the ideas using the AI to get a conceptual map around the topic of your interest. The next step is to discover the scientific research on the subject and some recurrent patterns and ideas. It may be useful to save some ideas to #Obsidian at that stage in order to keep track of the most important discoveries. If you’d like to explore a certain tangent, #ChatGPT is very useful for outlining some possible directions. After that, you can use InfraNodus Google Scholar / scientific publication search to each of those branches in more detail.
Try it out at
Obsidian plugin:
Timecodes:
00:00:00 — Introduction: how it works
00:01:09 — Building a contextual map around a certain topic
00:03:43 — Using ChatGPT to explore a certain topic in more detail
00:07:26 — Adding ideas into Obsidian
00:12:28 — Benefits of using the InfraNodus graph plugin with Obsidian for visualizing connections.
00:13:48 — Importing data from scientific databases (PubMed) in InfraNodus
00:16:10 — Combining ChatGPT with Obsidian
00:20:12 — Utilizing search queries to understand common concerns and interests of your audience
00:23:20 — Using the Obsidian graph view to identify gaps and generate ideas
source
Disclaimer
The content published on this page is sourced from external platforms, including YouTube. We do not own or claim any rights to the videos embedded here. All videos remain the property of their respective creators and are shared for informational and educational purposes only.
If you are the copyright owner of any video and wish to have it removed, please contact us, and we will take the necessary action promptly.
