Monday, October 31, 2016

Relationship Between DIKW Hierarchy and Ladder of Abstraction

 Data isn't information. ... Information, unlike data, is useful. While there’s a gulf between data and information, there’s a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge—not information—implies understanding. And beyond knowledge lies what we should be seeking: wisdom.
    — Clifford Stoll

After reading Learning How to Learn by Novak and Language in Thought and Action by Hayakawa. I noticed that both sides of Gowin's Knowledge Vee conforms to a specific form of Ladder of Abstraction that I have named as Knowledge Ladder of Abstraction. In the existing literature Knowledge Ladder of Abstraction is termed as DIKW Hierarchy.

The reason for the name Knowledge Ladder of Abstraction is that DIKW Hierarchy is related to Ladder of Abstraction described by Hayakawa in his book. This ladder feeds into the left side of the next Gowin's Vee in the sequence of Vee's, which generates the next ladder. The DIWK hierarchy consists of the following levels:
  • Wisdom
  • Insight
  • Understanding
  • Knowledge
  • Information
  • Data



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