Lessons tagged “knowledge-graphs”
18 published lessons with this tag.
Also tagged “knowledge-graph” (3 lessons).
Atomic does not mean isolated
Each atom exists in relationship to others — atomicity is about self-containment not loneliness.
Relationships are as important as entities
The connections between things carry as much meaning as the things themselves.
Strength of relationships varies
Not all connections are equally strong — quantifying strength improves your model.
Relationships change over time
Connections that exist today may not have existed yesterday or may not exist tomorrow.
Nodes and edges are the basic building blocks
Concepts are nodes and relationships are edges — together they form a graph.
Every note is a potential node
Your externalized thoughts are the raw material for a knowledge graph.
Links are first-class citizens
Relationships between ideas deserve as much attention as the ideas themselves.
Typed links carry more information than untyped links
A link labeled causes is more useful than a generic link labeled related.
Bidirectional awareness
When A links to B, B should know that A links to it — bidirectional linking reveals hidden patterns.
Graph density indicates knowledge depth
A densely connected area of your graph represents deep understanding.
Orphan nodes need connection or removal
An idea connected to nothing else is either missing links or not worth keeping.
Hub nodes are high-value concepts
Nodes with many connections are core concepts that deserve extra attention.
Bridge nodes connect different domains
Ideas that link separate areas of your knowledge graph are especially valuable.
Graph traversal is a thinking technique
Following connections through your knowledge graph generates new insights.
Clusters in your graph reveal your domains
Natural groupings in your knowledge graph show you what you know most about.
Gaps in your graph reveal what you need to learn
Areas where connections should exist but do not indicate knowledge gaps.
Your graph grows by accretion
Add new nodes and edges daily and the graph becomes increasingly powerful over time.
Personal knowledge graphs and AI
A well-structured personal knowledge graph becomes an input that AI can leverage.