Knowledge Crystallization: Difference between revisions
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{{Definition|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.}} | {{Definition|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.}} | ||
{{Quotation|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.|[ | {{Quotation|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]}} | ||
{{Quotation|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 == | == 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. | |||
[[Category: Glossary]] | [[Category: Glossary]] | ||
Latest revision as of 10:48, 21 August 2009
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.