Data 2 Wisdom - D.I.K.W
Knowledge maturing Conceptual Model
What is knowledge maturing? Learning is an inherently social and collaborative activity in which individual learning processes are interdependent and dynamically interlinked with each other: the output of one learning process is input to the next. If we have a look at this phenomenon from a macroscopic perspective, we can observe a knowledge flow across different interlinked individual learning processes.Data, Information, Knowledge, & Wisdom
by Gene Bellinger , Durval Castro , Anthony Mills There is probably no segment of activity in the world attracting as much attention at present as that of knowledge management. Yet as I entered this arena of activity I quickly found there didn't seem to be a wealth of sources that seemed to make sense in terms of defining what knowledge actually was, and how was it differentiated from data, information, and wisdom. What follows is the current level of understanding I have been able to piece together regarding data, information, knowledge, and wisdom. I figured to understand one of them I had to understand all of them. According to Russell Ackoff, a systems theorist and professor of organizational change, the content of the human mind can be classified into five categories:
In an earlier post I created a variation on this ring diagram: I came up with the two lower levels of the ring diagram, reflex and intuition, after having given considerable thought to the Six Hats metaphor: And the Six Rings metaphor: I could see that these hexads revealed two levels that were rarely discussed in the context of Data, Information, Knowledge and Wisdom. I began to wonder how to correctly define them.
dikw « relationary.wordpress.com
Systema: CI-DIKW Hierarchy Definitions « relationary.wordpress.com
I have been wanting to clearly define each of the terms Data, Information, Knowledge and Wisdom for some time. I have thought about Artificial Intelligence, Knowledge Bases, Knowledge Management, Data Management and other disciplines and have decided on the following simple definitions: Wisdom is the ability to model entities in a system. This is extrapolative. Knowledge is the ability to model relationships in a system. This is interpolative.
Un article de Wikipédia, l'encyclopédie libre. Le génie des technologies de l'information ou génie des TI est une discipline du génie que l'on enseigne dans un programme de premier cycle universitaire québécois ( canadien ) offert par l' École de technologie supérieure et par l' Université du Québec à Montréal et visant à former des Analyste (informatique)s ou des ingénieurs généralistes et multidisciplinaires en informatique . Cette formation les amène à résoudre des problèmes spécifiques au niveau des systèmes informatiques en entreprise et du secteur multimédia . Cette discipline regroupe les connaissances informatiques suivantes :
Génie des technologies de l'information
D.I.K.W Infografics
Phronēsis ( Greek : φρόνησις) is the Greek word for wisdom or intelligence which is a common topic of discussion in philosophy . In Aristotelian Ethics , for example in the Nicomachean Ethics it is distinguished from other words for wisdom and intellectual virtues – such as episteme and techne – as the virtue of practical thought. For this reason, when it is not simply translated by words meaning wisdom or intelligence, it is often translated as " practical wisdom ", and sometimes (more traditionally) as " prudence ", from Latin prudentia .
Phronesis
We call this wisdom In the old days, the hiring manager was the person to know if you wanted to get a job. They would read your resume and compare it with the “bell curve” in their mind. This bell curve contains a statistical sample of all similar situations that the manager has witnessed, the variables involved, and a range of outcomes observed across their long and illustrious career…Ohhhmmmmmm We Call This Simulated Wisdom Modern HR systems try to simulate this wisdom through a series of innovations such as key word search, structured interviews, personality tests, and employee incentives.
Social Value Creation: How To Manufacture Wisdom
Journal of Knowledge Management Practice,
Understanding Data, Information, Knowledge And Their Inter-Relationships Anthony Liew , Knowledge, Information, and Data are key words and also fundamental concepts in knowledge management, intellectual capital, and organizational learning. This paper includes the reasons for vagueness and confusion commonly associated with those key terms, proposed definitions of the key terms, and two models of their transformations and interactions. Keywords: Knowledge management, intellectual capital, organizational learning, knowledge, data, information
Collective wisdom , also called group wisdom and co-intelligence , is shared knowledge arrived at by individuals and groups. Collective intelligence , which is sometimes used synonymously with collective wisdom, is more of a shared decision process than collective wisdom. Unlike collective wisdom, collective intelligence it is not uniquely human, and has been associated with animal and plant life. Collective intelligence is basically consensus-driven decision making, whereas collective wisdom is not necessarily focused on the decision process.
Collective wisdom
The United States National Forum on Information Literacy defines information literacy as " ... the ability to know when there is a need for information, to be able to identify, locate, evaluate, and effectively use that information for the issue or problem at hand." [ 1 ] [ 2 ] Although this definition seems to be most commonly used, there are other definitions that are widely recognized as well. For example, it is also explained in terms of a set of competencies that an informed citizen of an information society ought to possess to participate intelligently and actively in that society. This includes "skepticism, judgement, free thinking, questioning, and understanding." [ 3 ] A number of efforts have been made to better define the concept and its relationship to other skills and forms of literacy.
Information literacy
The origin of DIKW Hierarchy
The Origin of the Data Information Knowledge Wisdom Hierarchy By Nikhil Sharma [Updated: ]A Primer: Enterprise Wisdom Management and the Flow of Understanding ScottCarpenter@CognitiveCybernetics.com Cupertino , CA 95014 / ( 408 ) 772-2811
Proceedings Template - WORD
Information du futur: trouver la réalité dans le code
Quel avenir pour l'information ? Le journaliste belge Roland Legrand imagine la transmission de l'actu en 2026, hyper-personnalisée pour les lecteurs et objet de curation pour ses différents transmetteurs. Notre site d’information www.tijd.be existe depuis 15 ans désormais. En mai 1996, disposer d’une connexion internet 128kbit relevait de l’exception. Aujourd’hui, bénéficier d’un débit de 100 mégabits paraît tout à fait normal (en Belgique du moins).Wired West vol. 5 no. 4 - Competitive Intelligence: What to Do with the Data
Roger Hough , Lowell Professional Services Introduction This article is a summary of a presentation given to a joint meeting of the Special Libraries' Association and the Society of Competitive Intelligence Professionals (SCIP) in Calgary on 16th May 2002. Competitive intelligence increasingly requires access to and the processing of large quantities of data. Various analytical techniques are available to help create actionable intelligence.Wandora is a general purpose information extraction, management and publishing application based on Topic Maps and Java . Wandora has graphical user interface, layered and merging information model, multiple visualization models, huge collection of information extraction, import and export options, embedded HTTP server with several output modules and open plug-in architecture. Wandora is a FOSS application with GNU GPL license. Wandora is well suited for constructing ontologies and information mashups.