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OntologyStream Inc.
Copyright:
2001
Demand-side
Knowledge Process Management (KPM)
and
Standard
OSI Products
Dr. Paul Prueitt,
Director, BCNGroup.org
Founder, OntologyStream.com
June 1st, 2001
Community transformation involves the development of process models. For example, the Business Process Reengineering (BPR) methodologies provide for AS-IS models and TO-BE frameworks. However, human knowledge management at the level of the individual has not been part of the BPR methodology. New methodology is needed that empowers individual decision productivity and takes into account the complex nature of social networks.
In
OSI’s methodology, Demand-side Knowledge Process Management (KPM) is used to
create machine ontologies. These have
topics with a "state gesture mechanism" attached to each topic. The state gesture mechanism is what drives
information around the system. The
mechanism is a process template defined over computer resources such as text
files and databases. In the Topic Maps jargon, these computer
resources are considered as “addressable” directly by the computer processor. Humans create the demand for supply-side
knowledge sharing. Private and personal
introspection, perception and decision-making processes are involved.
The OSI state gesture mechanism is algorithmic in nature. The push-pull of these algorithms allows the topics to be "assistant-to" decision making. The OSI machine ontologies are assistant-to human knowledge process because topics and topic properties are made visible as reminders (or signed informants within a sign system or natural language) about one specific universe of discourse. The specific universe of discourse is revealed in stages as the perceptual acuity of the user works with a voting procedure to produce vetted viewpoints.
The one specific universe of discourse is the one that is considered relevant by the user in a specific regularly occurring type of communicative act - like the reporting of a medical assessment. Knowledge of processes such as the reporting of a medical assessment is key to OSI KPM methodology.
Micro-ontologies
act as signs about the knowledge process that are regularly occurring in the
social network. Individuals make gestures (responses) and these gestures end up
pushing information around in the system.
That is the Demand side of this Innovation. Ontologies are streamed using XML formatted micro-ontologies from
point to point in the knowledge ecosystem resident to the community of
practice. The micro-ontology is simply
a small Topic Map or similar resource that has been “pulled” from a large
knowledge base.
This
algorithmic state gesture mechanism is "assistant-to" determining the
location where information is moved within the enterprise. So the state gesture mechanism acts as an
automated reporting technology.
Productivity goes up. Return on
investment goes up.
The
Standard OSI Product: Contracted evaluations about a new
generation of a knowledge technologies
An
evaluation process is available from OntologyStream.com. The process produces a
knowledge-sharing/information flow diagram and a prototype Demand plus
Supply-side KPM ™ system within any community of practice (or business unit). The cost of the evaluation is minimal.
1) Knowledge
elicitation methods are used to gather information existing in the
community/unit.
2) A
specific knowledge/information flow map is produced. Such a flow map shows
knowledge sharing flows occurring within the community/unit. The map is a diagram with nodes, labels and
flow directed connectives.
3) Tangible
and intangible evaluative processes and related process metrics are developed
and reported as a White Paper. These
metrics can be used to evaluate long-term implementation of micro-ontologies in
either a for-profit or not-for-profit community.
4) An
AS-IS model of the self-identity of the community/unit is produced. Community/unit mission, and high-level
standard operating procedures is documented and reported in a White Paper.
5) A
methodology of descriptively enumerated produces situational ontologies (on
paper) about several specific transaction intersections in the knowledge flow
map. The situational ontologies can be
viewed in the form of a polling or survey instrument that when fully or
partially filled out can completely hold the communication between transaction
intersections. These will be developed
as paper instruments.
6) Develop
a small number of micro-ontologies.
These micro-ontologies can be imported in and out of a XML text stream
or a database.
7) OntologyStream.com
will make micro-ontologies available via a web browser as a facilitation of
specific knowledge/information sharing.
8) OntologyStream.com
will support a web-based e-forum for the community for a period of 60
days. Questions about micro-ontology
use will be answered within a few hours or immediately. During this time, some new micro-ontologies
will be developed if requested by users.
9) OntologyStream.com
will provide a training workshop.
The
evaluation process fits into a three month knowledge elicitation and
community/unit self awareness process.
It is intended to be objective and not as a sales lead into a large
project.
The new knowledge process management technologies have both a
mature supply side KPM capability to compete with KM systems and a new Demand
side KPM capability that supports common people in the development of
micro-ontologies that reflect small areas of common discourse. For example a doctor's office reporting to
an insurance office the events of a medical assessment, or a teacher reporting
the results of instruction to a parent.
OSI
founders have experience with a simple to implement knowledge technology developed
by Acappella Software.
Using
knowledge
propagation architecture, the current generation of Supply-side KM
technology can be enhanced. Individual
development of micro-ontologies is possible.
A profile, smart agent, such as Autonomy’s Dynamic Reasoning Engine
(DRE), is after all a micro-ontology of sorts.
The micro-ontology is simply a concept space with a specific type of
link structure. The Acappella Software
empowers individuals to create and use these micro-ontologies as part of normal
work experience.
Using
Acappella Software, the average user develops micro-ontologies easily as part
of daily activities. The ontologies are
used to acquire situational information in a way similar to a poll or survey
instrument. This information this
pushed and pulled around the system in a way similar to the push – pull knowledge portal, e.g., with profile or
ontology map comparisons.
In
the Acappella Software micro-ontologies, the link structure has the state
gesture mechanism (an evocative question can be answered in various ways). The answers made to a micro-ontology are
used in an innovative natural language generation capability that
"rolls-up" the answered topic/questions into a section / subsection /
. . . / paragraph / sentence / phrase and thus can be read as a narrative
text.
The
Acappella Innovations represents the first of a new generation of more complete
(supply side plus demand side) knowledge process management paradigms. Ontologies are projecting natural language
that communicates to users in a way that is familiar. This drives knowledge sharing in a new way.