In this video, I demonstrate how you can use https://infranodus.com to learn about knowledge representation. My standard workflow is to get a general overview first using the Google import and AI import functions — that shows me what people are talking about when they talk about a topic. I use the InfraNodus' knowledge graph to represent the main ideas and clusters and to find the most relevant ones for me to explore in deeper detail. I also import the current information demand (what people are searching for), so I can better understand the difference between what people need and what they actually get. That helps me get a better understanding of how a certain topic can be developed.
Try it with https://infranodus.com
Timecodes:
00:00:00 — InfraNodus introduction: exploring knowledge with graphs and AI.
00:01:05 — Demonstrating InfraNodus workflow and inviting subscriptions.
00:03:24 — Exploring knowledge representation with symbolic reasoning and algorithms.
00:06:43 — Using AI for specific content responses in studies.
00:09:54 — Preferring to explore graphs before summarizing with AI.
00:13:25 — Discovery: connecting knowledge representation with graph learning.
00:16:41 — Exploring gaps for new ideas using InfraNodus features.
00:19:15 — Using graphs, frames, or ontology for complex problem-solving.
timecodes generated with the InfraNodus browser extension — https://infranodus.com/extension