Data 2 Wisdom - D.I.K.W
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Data by itself has no meaning. It fills databases. This data must be examined in order to become meaningful. Generating more data accomplishes little. Humans must interact with it. This is the first step whereby humans and their social networks become important.
1. The DIKW Model of Innovation
A few days ago I shared my crude model how we go from words to trust . I strung it along: word, definition, context, grammar, meaning, concept, understanding, salience, insight, trust, reputation. I believe each prior step must be present and perceived by both partners in an interaction before the next step gets good traction. Being in the people business of establishing technical trust - as I am - is an interesting combination of challenges: engineering, salesmanship, diplomacy, organization and administration, combined with awareness for the needs of future users of what we test and certify, and the needs and expectations of society.
Community of practice and trust building - ... a beginner at something
For easier grasp of big ideas, I find it helpful to arrange its keywords along a progressing scale. For example, the DIKW model of innovation , well explained by Richard Gayle. Monica Anderson is another deep thinker and inspired us by suggesting AI filtering to curate the unrelenting news stream. At least add commentary to say why you share. Prior work of hers seeded my understanding of reductionist and holistic ways of thinking. Today I share following spectrum because I believe it reflects a way of thinking along a progressing scale.
How to get from words to trust - ... a beginner at something
AlchemyAPI - Transforming Text Into Knowledge
Named Entity Extraction Identify people, companies, organizations, cities, geographic features, and other typed entities within HTML pages, text documents/content, and scanned document images. Our advanced named entity recognition (NER) capability supports multiple languages and offers comprehensive disambiguation capabilities not found in other solutions. Extract important terms and "topic" keywords from HTML pages, text documents/content, and scanned document images. Advanced statistical and linguistic algorithms analyze your content, "tagging" it with the most important words and phrases.
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:
D.I.K.W Infografics
The " DIKW Hierarchy", also known variously as the "Wisdom Hierarchy", the "Knowledge Hierarchy", the "Information Hierarchy", and the "Knowledge Pyramid", [ 1 ] refers loosely to a class of models [ 2 ] for representing purported structural and/or functional relationships between d ata, i nformation, k nowledge, and w isdom. "Typically information is defined in terms of data, knowledge in terms of information, and wisdom in terms of knowledge". [ 1 ] Not all versions of the DIKW model reference all four components (earlier versions not including data, later versions omitting or downplaying wisdom), and some include additional components.
DIKW - Wikipedia, the free encyclopedia
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 - Wikipedia, the free encyclopedia
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 information mashups. Wandora is capable of extracting and converting a wide range of open data feeds to topic map formats (see image below).
WandoraWiki
The 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 ] This is the most common definition; however, others do exist. For example, another conception defines it 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. [ 2 ] The American Library Association 's (ALA) Presidential Committee on Information Literacy, Final Report states, "To be information literate, a person must be able to recognize when information is needed and has the ability to locate, evaluate, and use effectively the needed information." [ 3 ] Information Literacy is important to all libraries, library users, and the general public.
Information literacy - Wikipedia, the free encyclopedia
The origin of DIKW Hierarchy
The Data Information Knowledge and Wisdom Hierarchy (DIKW) is commonly referred to by many names. In most of the "Knowledge Management" literature the hierarchy is referred to as the "Knowledge Hierarchy", while the information science domain refers to the same hierarchy as "Information Hierarchy" for obvious reasons. Sometimes it is also referred to as the "Knowledge Pyramid". There is a lot of literature on the hierarchy, but this page is devoted to the origin of that hierarchy. To read more about the hierarchy please refer to some of the References.Hierarchies of understanding (HoU) [1-5] facilitate discussion about human learning ( see Figure 1). Cleveland [1], Ackoff [2], and Bellinger [3] proposed bottom-up HoU that begin with data and end with wisdom. Tuomi [4] proposed a top-down HoU in which knowledge is first conjectured, whence is subdivided and contextualized to derive information, whence is subdivided and contextualized to derive data.
Proceedings Template - WORD
This website aims to present the results of the ongoing research on a cartographic approach to the representation of knowledge in its present configurations. The aim of the research is to extend the cartographic metaphor beyond visual analogy, and to expose it as a narrative model and tool to intervene in complex, heterogeneous, dynamic realities, just like those of human geography. The map, in this context, is not only a passive representation of reality but a tool for the production of meaning. The map is thus a communication device : a mature representation artefact, aware of its own language and its own rhetoric, equipped with it its own tools, languages, techniques and supports. A model that recovers the narrative abilities of pre-scientific maps and presents itself not as a mere mimetic artefact, but as a poetic and political tool
Knowledge Cartography
School of Wisdom - Established by Hermann Keyserling in 1920
May 5, 2010 The School of Wisdom is an idea, and a timeless tradition. It was first re-manifested in modern times in 1920 in Darmstadt, Germany by the...We need a revolution in the aims and methods of academic inquiry. Instead of giving priority to the search for knowledge, academia needs to devote itself to seeking and promoting wisdom by rational means, wisdom being the capacity to realize what is of value in life, for oneself and others, wisdom thus including knowledge but much else besides. A basic task ought to be to help humanity learn how to create a better world. Acquiring scientific knowledge dissociated from a more basic concern for wisdom, as we do at present, is dangerously and damagingly irrational. Natural science has been extraordinarily successful in increasing knowledge. This has been of great benefit to humanity.