What do all things have in common?

Posts tagged “Mathesis Generalis

Ontology: Compelling and ‘Rich’

Ontology (Water)

Ontologies are surfaces… even if ‘rich’. (link)

Ontology: Compelling and ‘Rich’
They are only surfaces, but they seem to provide you with depth.

This exquisite video shows how the representation of knowledge is ripe for a revolution. I’ve written about this in depth in other places so I won’t bore you with the details here unless you ask me in the comments below.

Stay tuned! I’m behind in my schedule (work load), but I’m getting very close just the same. I will publish here and elsewhere.
I’m going to use this video (and others like it) to explain why ontologies are not sufficient to represent knowledge.

Soon everyone will acknowledge this fact and claim they’ve been saying it all along! (In spite of the many thousands of papers and books obsessively claiming the opposite!!!) They do not know that how dangerous that claim is going to be. Our future will be equipped with the ability to determine if such claims are true or not. That’s some of the reason I do what I do.

#KnowledgeRepresentation #BigData #Semantics #Metaphysics   #Ontology
#Knowledge #Wisdom #Understanding #Insight #Learning #MathesisUniversalis #MathesisGeneralis #PhilosophiaUniversalis #PhilosophiaGeneralis #ScientiaUniversalis #ScientiaGeneralis

Nascent Mind, Prescient Knowledge: Instinct And Envisioning

Tesla - Instinct transcends knowledge

It’s at this juncture that concepts begin to coalesce. Within this ‘Holy of Holies’ concepts are born and form/generate their associated continuums. It’s like watching the blue wisping stars newly born in the constellation of Pleiades.

This ‘event horizon’ is so crucial to understanding and participating in mind; yet those who should know better simply ignore or overlook it.

Tesla’s statement here rings so true that it simply boggles my mind and confirms that Tesla was ‘tuned into it.’

He clearly exhibited these awarenesses on several occasions. He was able to envision many ideas to their completion before constructing them;  and his instinct for somehow ‘knowing’ (flashes of insight) what to do next and where to go with an idea were so profound that it often overwhelmed and incapacitated him. His mind was so fertile that layers of creative impulses were being maintained concurrently.

Next to Socrates there are very few who inspire me. Tesla is one of those few.

Precursors Of Knowledge

Precursors of KnowledgePrecursors Of Knowledge
Fractal fields provide a nice framework in which to think about knowledge. They are not all we need for precision, but they are helpful in a generic way. I’ll be posting more on them as the knowledge representations are published, because there are many ‘gaps to fill’ to show how these relate to knowledge.

More sources:

Information Visualization Is Not Knowledge Representation

Information visualization is not Knowledge Representation

(Lynda.com – Overview of Data Visualization)

Information Visualization Is Not Knowledge Representation
This great video from Lynda.com shows how the processing language/interpreter is great for modeling information.

With such a multitude of interesting ways to model data, we find it hard to resist the temptation to call this knowledge, but it’s not!

All of the wonderful representations here still require us to interpret their meaning!

What if there were a way to present knowledge in which our own understanding is not required to interpret them? What if our understanding of what we have presented to us becomes part of the presentation itself, and in fact, influences what we take from that representation?

We obviously need knowledge representation that can provide their meaning on their own for only they can provide a true understanding of their inherent structure and dynamics.

You see real understanding is the personalization of knowledge into your own mind. If your mind cannot dialog with that knowledge, it’s not really yours and if your mind does all the work, it’s only information.