D
Dennis D.
To: Microsoft Corporation
From: Undersigned
Subject: Knowledge Management Policy
Dear Sirs:
Executive Brief: Author and implement a comprehensive knowledge management
policy.
Symptoms:
1. Current search engines require scanning of very large resources to find
very small resources.
2. Default directory names in Windows Operating Systems as My Documents, My
pictures are machine related, rather than informational.
Treatment: Adopt a knowledge management policy that is logical and
intelligent, and apply it all products, services, systems, and data,
especially to personal computer operating systems and storage solutions .
Result: KM policy will be implemented by user (machine and human) methods.
Meaning: A user will see information organized in a logical hierarchical
system.
Interpretation: If you want to adopt a strategy of separating applications
from data, then do it, but do it in an intelligent manner. Both the methods
of storage and the content must be logically organized. A user should know
that on any system, whether it be a document system, a storage system, or an
operating system, that a piece of information concerning an atom will be
found in a subtopic of molecule in an applied knowledge management
hierarchy.
Application: Naming storage drives a: b: c: is intelligent only if the
knowledge management system hierarchical object is naturally alphabetic. In
the application/data scenerio, why not name drives: Applications: Data:, or
better, suggest a naming strategy from Library Science such as, Humanities,
Physical Science, and Social Science? People are involved with Taxonomy, and
Microsoft should lead the charge, because it is developing the tools that
make people smarter.
Human knowledge can be logically organized. Digital systems must find and
apply algorithms that translate information into something logical,
meaningful, and useful. This incorporates the idea that the solutions
Microsoft provides should, by definition, consider and implement a baseline
knowledge management architecture that can categorize sensory or mechanical
analogs. A knowledge management policy provides the wheels for intelligent
systems.
From: Undersigned
Subject: Knowledge Management Policy
Dear Sirs:
Executive Brief: Author and implement a comprehensive knowledge management
policy.
Symptoms:
1. Current search engines require scanning of very large resources to find
very small resources.
2. Default directory names in Windows Operating Systems as My Documents, My
pictures are machine related, rather than informational.
Treatment: Adopt a knowledge management policy that is logical and
intelligent, and apply it all products, services, systems, and data,
especially to personal computer operating systems and storage solutions .
Result: KM policy will be implemented by user (machine and human) methods.
Meaning: A user will see information organized in a logical hierarchical
system.
Interpretation: If you want to adopt a strategy of separating applications
from data, then do it, but do it in an intelligent manner. Both the methods
of storage and the content must be logically organized. A user should know
that on any system, whether it be a document system, a storage system, or an
operating system, that a piece of information concerning an atom will be
found in a subtopic of molecule in an applied knowledge management
hierarchy.
Application: Naming storage drives a: b: c: is intelligent only if the
knowledge management system hierarchical object is naturally alphabetic. In
the application/data scenerio, why not name drives: Applications: Data:, or
better, suggest a naming strategy from Library Science such as, Humanities,
Physical Science, and Social Science? People are involved with Taxonomy, and
Microsoft should lead the charge, because it is developing the tools that
make people smarter.
Human knowledge can be logically organized. Digital systems must find and
apply algorithms that translate information into something logical,
meaningful, and useful. This incorporates the idea that the solutions
Microsoft provides should, by definition, consider and implement a baseline
knowledge management architecture that can categorize sensory or mechanical
analogs. A knowledge management policy provides the wheels for intelligent
systems.