My post “The Emergence of the “Know” Profile” stirred numerous responses. Within these responses, and the subsequent dialog within the blogosphere , came many questions and perceptions as to the validity of someday actualizing the “know” profile as described.
Given this exchange I thought it would be worthy to examine some of the relevant issues raised and address them by sharing more details of how the “know” profile will emerge and how it will work.
How Can Knowledge be Indexed into an Inventory?
Libraries use numerical indexing to categorize books and the relevant content. The numerical indexing system applies numbers to make a search of relevant and relative words all contained in a taxonomy of subjects. These numeric indexes began in approximately 1894. This “taxonomy” of knowledge assets (contained in libraries of knowledge) can be found in places like Amazon, Encyclopedia Britannica or the Library of Congress etc. Ever seen anything like this ISBN 0-534-39200-8? That is the numerical index number for a book.
Now take that same concept and apply the related methodologies to “indexing an individuals knowledge assets” and what you create is a library of individual knowledge inventory. Computer algebra system would perform the required calculations. The new system would include various versions of algorithms used to index ones knowledge inventory based on education, learning degrees, life experiences and original published content. All of this currently rest in our social profiles but is yet to be indexed to reflect our individual knowledge inventory. Not yet but soon.
Couldn’t People Create Fake Knowledge Assets?
I suppose they could but “fake” is now transparent. College professors use software to screen student papers for plagiarism. Resumes are not vetted and education and experience is verified by computer programs. Said mechanisms could easily be used to “vet” an individuals profile. Additionally people who know and or have had relational experience with individuals will easily vet out the “lies”.
Our blogging could be added to our “Knowledge Inventory” and the numerical indexing of the content along with vetting mechanisms would verify original thought vs. copy. Ideation, creativity of thought and value of thought can all be indexed and vetted. Essentially we already have a significant system of vetting in place and much of those activities establish our social capital which could also be indexed.
How would our knowledge inventory be visualized?
Look at the graphic in this post. There are low, median and high ranges of each “knowledge asset”. Below each asset their is a related taxonomy of affinity knowledge contained within the indexes. A computer generated algorithm would create a histogram that places our individual “knowledge assets” into a range that relates to the “pool” of knowledge inventory represented by everyone’s profile and from established “knowledge” contained in Libraries everywhere. Said algorithms and histograms would create a “numerical analysis” and subsequent score that would plot our individual knowledge assets against the “knowledge inventory” library. What you get is a graphic display with plotted dots on each top level “capital category” in a picture such as that framed in the graphic on this page.
Keep the comments and questions coming. In response I will share my “knowledge assets” and define further how I envision the system working. I don’t claim to have the only “knowledge assets” on this very important subject matter so add yours and lets make it real.