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Knowledge Architect/Overview/Functional |
Knowledge is the coherently integrated collection of all fully qualified information, meta-information and relationships, including all qualified relationships between all information elements, with all meta-information, iteratively and recursively While data can be defined as a computer representation of content, be it information or knowledge, "Information" could now be defined as particles of knowledge. An information element like number “25” could be a particle in the knowledge and understanding that Peter, friend of Jack, IT worker, as sysadmin, at zzz, living in xxx, graduated when he was “25” years old, etc. Every information in this knowledge resource could be stored as part of an information set. Human designers and programmers could then assemble or build applications that may somewhat better "know" the information elements and structures, relating them together, according to some defined specification. So now a part of the effective knowledge is in the information set definition and structure, another part is coded in application(s), another part lies in the applications specifications, and yet, most of the implied knowledge still remains spread through the minds of these humans who had to make a huge amount of choices and decisions, at every step. In fact, these humans will need to be called in every time a change is required on any or all of the components, as they still hold most of the related knowledge in their minds. Although complementary, knowledge and information are very different, as reflected in definition [C] above. The key differentiating factor lies in the multitude of qualified relationships, between all information elements, including all meta-information, as well as all the qualified relationships between all the relationships. Qualified relationships are key to knowledge. |
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