|Knowledge Architect/Operation/Modeling/KA Modeling|
The natural externalizing and internalizing model projection process is key to the better understanding and sharing of complex knowledge resources, including those of concepts, systems, and processes.
As problem-domain complexity progressively increases, current modeling silos, typically developed around specific modeling languages (ex: UML, BPMN), approaches (ex: text, facts, mind mapping, 2D graphics, 3D graphics, solid 3D, N-dimensional), and tools, seriously hinder modeling effectiveness, despite all the efforts being deployed to try to bridge these silos. In addition, powerful and complexity-mastering applications are needlessly prevented.
Modeling silos and incompatibilities demonstrate a critical lack of deeply grounded, structured, generalized, modularized, and integrated knowledge architecture foundations, especially as each silo was typically designed to address a specific type of issues, with a specific type of notation.
With a better knowledge architecture understanding and paradigm, computing-system-assisted modeling can become an integrated and generalized process, open not only to analysis and sharing, but also to instantiation, control, and governance, as well as interactive animated 3D social-networking knowledge resource entitlement, modeling, management and sharing virtual environments. (see below).
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