Group items tagged relevancy - Collective Intelligence theory research

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SourceForge Seeks a Return to Relevancy | FOSS Force - 0 views

shared by Gonzalo San Gil, PhD. on 20 Jun 16 - No Cached

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The Knowledge Conduit | Knowledge Matters - 3 views

www.durantlaw.info/knowledge-conduit Collective Intelligence conduit knowledge context

shared by Wildcat2030 wildcat on 15 Jan 10 -

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Amira . liked it

Wildcat2030 wildcat on 15 Jan 10

"First, you should observe that there are two distinct domains - the descriptive domain and the predictive domain - and that data and information belong to the descriptive domain. I like Davenport and Prusaks' (1998, pp 2-3) definition of data as being "a set of discrete, objective facts existing in symbolic form that have not been interpreted". The symbolic form may be text, images, or pre-processed code. Data is usually organised into structured records, however it lacks context. The declaration 'Iron melts at 1,538 degrees Celsius.' is a data statement because it has no context. In this model when data is enriched by adding context it may become information. Information is data with a message, and therefore has a receiver and sender. It is data with relevance and purpose that is useful for a particular task, and is meant to enlighten the receiver and shape their outlooks or insights. Information results in an action that allows the data to be applied to a specific set of circumstances and to be employed effectively. Data only becomes information after it has been interpreted by the receiver. Furthermore information is descriptive. For example the statement 'Newcastle steel-mill's smelter temperature has been set at 2,300 degrees Celsius.' conveys information because it has been enriched by context. The enrichment from data to information is a 'know what and how' procedure that results in an understanding of relationships and patterns. However, information by itself remains descriptive and without additional data or information it cannot be used to predict an event or outcome."

<div class="cArrow"> </div><div class="cContentInner">"First, you should observe that there are two distinct domains - the descriptive domain and the predictive domain - and that data and information belong to the descriptive domain. I like Davenport and Prusaks' (1998, pp 2-3) definition of data as being "a set of discrete, objective facts existing in symbolic form that have not been interpreted". The symbolic form may be text, images, or pre-processed code. Data is usually organised into structured records, however it lacks context. The declaration 'Iron melts at 1,538 degrees Celsius.' is a data statement because it has no context. In this model when data is enriched by adding context it may become information. Information is data with a message, and therefore has a receiver and sender. It is data with relevance and purpose that is useful for a particular task, and is meant to enlighten the receiver and shape their outlooks or insights. Information results in an action that allows the data to be applied to a specific set of circumstances and to be employed effectively. Data only becomes information after it has been interpreted by the receiver. Furthermore information is descriptive. For example the statement 'Newcastle steel-mill's smelter temperature has been set at 2,300 degrees Celsius.' conveys information because it has been enriched by context. The enrichment from data to information is a 'know what and how' procedure that results in an understanding of relationships and patterns. However, information by itself remains descriptive and without additional data or information it cannot be used to predict an event or outcome."</div>

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