Copyright Roy Roebuck, 1982-2005. Use only under the free Creative Commons license or low-cost commericial license at http://one-world-is.com/beam. Copyright Roy Roebuck, 1982-2005. Use only under the free Creative Commons license or low-cost commericial license at http://one- world-is.com/beam. 28 GEM Intelligence Categories Give Context To The Subject SUBJECT Resource Context Organization Unit Context Process Context Requirement Context Function (Mission) Context Organization Context Location Context Service/IT Focus. Requires Data Communication. Event Operation and Performance Focus. Requires Telecommunication. Management Focus. Requires Human Communication. Increasing Context (=Decreasing Disorder) Next State (Order) Decision Awareness Knowledge Information Data Signal Event Current State (Order) Increasing Intelligence Response Impact Learning Process Metadata Pattern Indicator Change GEM Function – Enterprise Intelligence 2 In GEM, Enterprise Intelligence is a collection of those sensed, perceived, and recorded things, treated as resources, that guide enterprise decisions in responding to changes in monitored situations (i.e., current state). Enterprise Intelligence is a superset of the “sense, analyze, respond” aspects of what is now being called “netcentic” operations, or “netcentricity”. These intelligence resources are best managed as a whole, thus providing integrated assertions (e.g., facts, opinions, contingencies, requirements) for decisions and response. GEM categorizes and structures its intelligence in terms of the basic human questions and answers of: where, who, what, why, how, when, how many, how often, for how long, of what quality, at what stage, etc. The intelligence categories of GEM (i.e., for faceted classification of the subjects) are named: Location, Organization, Organization Unit, Function, Process, Resource, and Requirement. These categories form an “upper ontology” for enterprise knowledge modeling and knowledge management. GEM is used to collect, identify, describe, relate, control, and disseminate information about subjects in these categories.

Gem Intelligence Structure

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Copyright Roy Roebuck, 1982-2005. Use only under the free Creative Commons license or low-cost commericial license at http://one-world-is.com/beam.

Copyright Roy Roebuck, 1982-2005. Use only under the free Creative Commons license or low-cost commericial license at http://one-world-is.com/beam. 28

GEM Intelligence Categories Give Context To The SubjectSUBJECT Resource

ContextOrganization Unit Context

Process Context

Requirement Context

Function (Mission) Context

Organization Context

LocationContext

Service/IT Focus. Requires Data

Communication.

Event Operation and Performance Focus.

Requires Telecommunication.

Management Focus. Requires

Human Communication.

Increasing Context(=Decreasing Disorder)

Next State (Order)

Decision

Awareness

Knowledge

Information

Data

Signal

Event

Current State (Order)

IncreasingIntelligence

Response

Impact

Learning

Process

Metadata

Pattern

Indicator

Change

GEM Function – Enterprise Intelligence 2

In GEM, Enterprise Intelligence is a collection of those sensed, perceived, and recorded things, treated as resources, that guide enterprise decisions in responding to changes in monitored situations (i.e., current state).

Enterprise Intelligence is a superset of the “sense, analyze, respond” aspects of what is now being called “netcentic” operations, or “netcentricity”. These intelligence resources are best managed as a whole, thus providing integrated assertions (e.g., facts, opinions, contingencies, requirements) for decisions and response.

GEM categorizes and structures its intelligence in terms of the basic human questions and answers of: where, who, what, why, how, when, how many, how often, for how long, of what quality, at what stage, etc.

The intelligence categories of GEM (i.e., for faceted classification of the subjects) are named: Location, Organization, Organization Unit, Function, Process, Resource, and Requirement. These categories form an “upper ontology” for enterprise knowledge modeling and knowledge management.

GEM is used to collect, identify, describe, relate, control, and disseminate information about subjects in these categories.