Knowledge Archtecture Logical Layer Paradigms
One of the main keys to effective Knowledge Architecture integration an optimization,
lies in the selection, separation, and integration of optimal logical layer paradigms.
Modeling Architecture Paradigm
The integrated framework proposed in this section is designed with a main integrating operation paradigm,
the Modeling Architecture Paradigm (MAP), built by integrating three other logically layered paradigms.
Together they define an optimized and integrated knowledge architecture framework and platform.
The MAP is the integrated operation paradigm, specifically designed to define, input, manage, and share models,
project models through viewpoints, perspectives, and notations, onto views, as well as manage model execution
(e.g. instantiation, orchestration, notification, context rules, dynamic indicators).
See Modeling Architecture Paradigm (MAP).
Semantics Architecture Paradigm
Supported by the other logical layer paradigms, the top logical layer paradigm supports resource semantics,
it is the Semantics Architecture Paradigm (SAP). In modeling, for example, modeling components are essentially
virtual semantic components that get related to notational (e.g. graphic, glyphs, text, volumes) components,
supporting multiple notational representations for models and their components.
See Semantics Architecture Paradigm (SAP).
Knowledge Architecture Paradigm
Directly supporting the Semantics Architecture Paradigm (SAP),
and supported by the Processing Architecture Paradigm (PAP) logical layers,
the Knowledge Architecture Paradigm (KAP), based on concepts, principles and patterns
defined in this document, is central and key to the whole architecture.
Mapping knowledge to representations, this layer supports knowledge management.
See Knowledge Architecture Paradigm (KAP).
Processing Architecture Paradigm
Supporting all layers, processing, and application, the Processing Architecture Paradigm is a
modular and structured MCV (Model-Controler-View) framework and platform, designed to support knowledge architecture
with power, flexibility, virtualization, integration, and scalability.
The PAP is also designed to be platform and vendor independent, as well as to support modular implementation from
See Processing Architecture Paradigm (PAP).
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