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Knowledge graphs are traditionally collections of triplets, 2 vertices/entities plus edge type/relation. They are vastly superior to trees for data representati
by ivancho 3y ago
Knowledge graphs are traditionally collections of triplets, 2 vertices/entities plus edge type/relation. They are vastly superior to trees for data representation, but are completely useless for visualization. There is no meaningful question that can be answered faster or better by looking at the drawn edges - just print a list of entities and add hyperlinks.
- tunesmith 3y agoThere are plenty of meaningful questions that can be answered by focusing on one edge meaning at a time, though. Call graphs (edge: this calls that), pert charts or dependency charts, (edge: this is required by that or this enables that), recipes (edge: do this before that), arguments/conclusions (edge: this premise combined with that premise implies or justifies that lemma), etc, etc. All of those are very useful to look at visually.