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]}} | ||
== References == | == References == | ||
[ | *[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]] | ||
Revision as of 10:43, 13 October 2005
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]
References
- [Card et al., 1998] Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1998.