Knowledge: Difference between revisions
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{{Quotation|What differentiates '''knowledge''' from [[Information]] is the complexity of the experiences that you need to reach it. In order for a set of information to become knowledge one has to be exposed to it in different ways and one has to elaborate a personal experience about it. [...] knowledge can be expressed as a pattern whose measure of interest for the user is above a certain threshold. That is, if some information is not interesting for us it's very difficult for it to become knowledge. Knowledge is not transferable, you have to build it yourself by experiencing the information.|[Dürsteler, 2007]}} | {{Quotation|What differentiates '''knowledge''' from [[Information]] is the complexity of the experiences that you need to reach it. In order for a set of information to become knowledge one has to be exposed to it in different ways and one has to elaborate a personal experience about it. [...] knowledge can be expressed as a pattern whose measure of interest for the user is above a certain threshold. That is, if some information is not interesting for us it's very difficult for it to become knowledge. Knowledge is not transferable, you have to build it yourself by experiencing the information.|[Dürsteler, 2007]}} | ||
{{Quotation|[[Knowledge]] is the "justified true belief" according to Plato. According to the Oxford English Dictionary, knowledge can be defined as (i) expertise, and skills acquired by a person through experience or education; (ii) what is known in a particular field or in total; or (iii) awareness or familiarity gained by experience of a fact or situation.|[Bertini and Lalanne, 2009]}} | |||
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== References == | == References == | ||
*[Bates, 2005] Marcia J. Bates, [http://informationr.net/ir/10-4/paper239.html Information and Knowledge: An Evolutionary Framework for Information Science]. ''Information Research'', 10(4), July 2005. | *[Bates, 2005] Marcia J. Bates, [http://informationr.net/ir/10-4/paper239.html Information and Knowledge: An Evolutionary Framework for Information Science]. ''Information Research'', 10(4), July 2005. | ||
*[Bertini and Lalanne, 2009] Bertini, E. and Lalanne, D. 2009. [http://doi.acm.org/10.1145/1562849.1562851 Surveying the complementary role of automatic data analysis and visualization in knowledge discovery]. In Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: integrating Automated Analysis with interactive Exploration (Paris, France, July 28 - 28, 2009). VAKD '09. ACM, New York, NY, 12-20 | |||
*[Dürsteler, 2007] Juan C. Dürsteler, [http://www.infovis.net/printMag.php?num=186 | *[Dürsteler, 2007] Juan C. Dürsteler, [http://www.infovis.net/printMag.php?num=186 | ||
[[Category:Glossary]] | |||
Revision as of 10:34, 21 August 2009
Information given meaning and integrated with other contents of understanding.
What differentiates knowledge from Information is the complexity of the experiences that you need to reach it. In order for a set of information to become knowledge one has to be exposed to it in different ways and one has to elaborate a personal experience about it. [...] knowledge can be expressed as a pattern whose measure of interest for the user is above a certain threshold. That is, if some information is not interesting for us it's very difficult for it to become knowledge. Knowledge is not transferable, you have to build it yourself by experiencing the information.
[Dürsteler, 2007]
Knowledge is the "justified true belief" according to Plato. According to the Oxford English Dictionary, knowledge can be defined as (i) expertise, and skills acquired by a person through experience or education; (ii) what is known in a particular field or in total; or (iii) awareness or familiarity gained by experience of a fact or situation.
[Bertini and Lalanne, 2009]
see also: Data, Information, Knowledge, Wisdom
References
- [Bates, 2005] Marcia J. Bates, Information and Knowledge: An Evolutionary Framework for Information Science. Information Research, 10(4), July 2005.
- [Bertini and Lalanne, 2009] Bertini, E. and Lalanne, D. 2009. Surveying the complementary role of automatic data analysis and visualization in knowledge discovery. In Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: integrating Automated Analysis with interactive Exploration (Paris, France, July 28 - 28, 2009). VAKD '09. ACM, New York, NY, 12-20
- [Dürsteler, 2007] Juan C. Dürsteler, [http://www.infovis.net/printMag.php?num=186