Knowledge Crystallization

The goal of a knowledge crystallization–process is to get the most compact description possible for a set of data relative to some task without removing information critical to its execution. Knowledge that is proven effective, useful, and objective is maintained — knowledge irrelevant in this case is removed.

The goal of a knowledge crystallization process is to get the most compact description possible for a set of data relative to some task.The authors affirm that information visualization can help most parts of knowledge crystallization.

[Card et al., 1998]

Acquire information. Make sense of it. Create something new. Act on it.

[Card, 2008, p. 540]

see Knowledge Discovery for an explanation of the relationship between Data, Information, Insight, Model, Pattern, Hypothesis, Knowledge and Knowledge Crystallization.

References

• [Card, 2008] Stuart Card, Information visualization, in A. Sears and J.A. Jacko (eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, Lawrence Erlbaum Assoc Inc, 2007.
• [Card et al., 1998] Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1998.