Knowledge Architecture Based 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).