Sunday, May 22, 2016

Awesome graphic as Graphs

The classic continuum from Data via Information to Knowledge is nicely visualized in a three part graphic. I've seen it shared many times the last couple of years on Twitter and LinkedIn. Today I saw it extended with Insight and Wisdom. It made it even more awesome.

Original graphic by Hugh MacLeod @hughcards
extended by David Sommerville @smrvl  

It was my friend and former colleague Martin Börjesson @futuramb that did a Re-Tweet of a tweet from John Hagel @jhagel, management consultant and author. It took me to the creator of the original graphic, Hugh MacLeod @hughcards, cartoonist and co-founder of @gapingvoid. The extension of it is done by David Sommerville @smrvl Digital Design Director for @TheAtlantic.

So, I started to think about representing the five pieces as executable and querayable graphs:

  • 1 DataPoint class
  • 21 DataPoints
  • 2 InfoClasses (represented by the green and lilac labels) 
  • 21 Classifications 
  • 1 type of Relationship
  • 18 relationsships
  • 1 new InfoClass (yellow) 
  • 2 new Classifications
  • 1 Relationship Query

RDF triples, RDF Schema and SPARQL would be one option.

Neo4j Property Graph and Cypher, another option.

Well, will see if I can find the time to do it, or convince some graphs and linked data friends to have a go at it :-)



4 comments:

Wendy said...

Very nice poost

Anonymous said...

The original author has a 6 panel version now: data, information, knowledge, insight, wisdom, impact

python.data said...

GREAT

python.data said...

Graphs are a powerful way to transform information and ideas into visual forms that are easier to understand and explore. The “Awesome Graphic as Graphs” concept presents the familiar progression from Data to Information to Knowledge, and further extends it to Insight and Wisdom. This visual approach shows how raw data can be transformed into meaningful understanding through classification, relationships, and interpretation.
Data Visualization Course. The original graphic was created by Hugh MacLeod and later extended by David Sommerville, inspiring ideas about how these concepts could also be represented using linked-data graphs. In this article, we explore how graphics and graphs can work together to represent the journey from data to deeper knowledge and insight.