Knowledge graph
a structured network of interconnected concepts where nodes represent ideas and edges represent relationships between them, with gaps indicating knowledge deficiencies and structural holes revealing blocked channels for insight
Why This Is a Definition
This definition establishes the precise semantic boundary of 'knowledge graph' by specifying its components (nodes and edges), function (structured network of interconnected concepts), and diagnostic value (gaps indicating deficiencies, structural holes revealing blocked channels). It distinguishes this from mere lists or collections and positions gaps as meaningful diagnostic instruments rather than failures.
Source Lessons
Gaps in your graph reveal what you need to learn
Areas where connections should exist but do not indicate knowledge gaps.
The graph outlives any single organizing system
Filing systems come and go but a well-linked graph retains its value regardless of how you browse it.
Relationships are as important as entities
The connections between things carry as much meaning as the things themselves.
A knowledge graph connects everything you know
Individual atoms of knowledge become powerful when linked into a navigable structure.
Nodes and edges are the basic building blocks
Concepts are nodes and relationships are edges — together they form a graph.
Graph maintenance is ongoing
Periodically review and clean your graph — remove dead links and add missing connections.
Explicit relationships replace assumptions
Writing down how two ideas relate prevents assuming a connection that does not exist.