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OntologyStream Inc.
Copyright:
2001
OSI a vehicle through which a group of knowledge
scientists make valued contributions to society in the form of:
1)
The Standard OSI
Package:
Contracted evaluations about a new generation of a knowledge technologies
2)
Intellectual
Property Evaluation
3)
The Encoding of Process Knowledge into Cognitive Graphs and Topic Maps
a)
IDEF1/1X
methodology with Intersect Technologies
b)
Work on encoding knowledge of medical assessment
c)
Work on process modeling
4)
Infrastructure
Development for Private Virtual Networks
OntologyStream Inc
builds value network and knowledge map information resources and converts these
resources into community building and productivity enhancements.
We keep it simple.
Some traditional tools are used.
Value network and knowledge map information
resources are a common work product of Knowledge Management consulting. Sometimes, value network and knowledge map
information resources are paper based, involving no technology only
methodology. The maps are in the
form of the flow diagram. They allow
community stakeholders an objective view of the community’s communicative
acts.
Value network
and knowledge map information lead naturally into an evaluation of the
community building
The OntologyStream makes
objective evaluations about what is and what is not a knowledge
technology. These evaluations are made
in single standard package in order to aid in uniformity of evaluation and in
the conversion of the results into a empirical case study of the adoption of
knowledge technology by commercial markets.
These objective evaluations include
subcontracting Intellectual Property evaluation to a third party. This third party has unique link analysis
technology that maps out portions of the IP space and assists IP professionals
in the development of an objective evaluation of specific IP.
The Third Product: The Encoding of Process Knowledge into Cognitive
Graphs and Topic Maps.
UC.1: Policy and Guidance conversion into knowledge
of processes
UC.1.1: Knowledge of
specifics are held as resources
UC.1.1.1: If specifics are
missing then the specific is assumed to be non-addressable
UC.1.1.2: If a specific is
addressable then one assumes the existence of an information portal that allows
the retrieval and up-date of the resource (see joint position paper with
Intersect Technologies Inc on Agile IDEF)
UC.1.2: Openness of
addressable / non-addressable update cycles
UC.1.2.1: The process through which Policy and Guidance are brought
into the addressable construct is assumed non-addressable
UC.1.2.2: The process of conforming to Policy and Guidance is assumed
to arise because of human communities-of-practice and thus are knowable by
humans
UC.1.2.2.1: Encoding of knowledge of
processes conforming to Policy and Guidance is the core problem to be solved –
regardless of the toolset being used.
UC.1.2.2.2:
Natural language is assumed sufficient to the task of solving the
problem of encoding knowledge of processes conforming to Policy and Guidance.
UC. 1.2.2.3:
Knowledge of process can be encoded into stratified workflow using the voting
procedure.
UC.1.3: Areas of application
UC.1.3.1: Environmental regulation
UC.1.3.2: Military activities
UC.1.2.3: Decision support in general
UC.1.2.4: Process support for interviews and medical examinations
UC.2: Knowledge of medical records
UC.2.1: Process knowledge can be separated
from specific knowledge related to a specific patient
UC.2.1.1: The encoded process knowledge must be sufficiently rich to
remind the practitioner of the medical science related to the patent case.
UC.2.1.2: A knowledge claim /
knowledge validation cyclic is required so that information posed via the
reification of an addressable subject (see Topic Map conceptual model) does not
lead to false sense making
UC.2.1.3: Process knowledge for aiding medical examinations can be
generalized
UC.2.2: Specific resources are provided as
hyperlinks (and information portals) to the knowledge-of-process-structure.
UC.2.2.1: Topic Maps can be used as specific resources within a XML
with RDF construct.
UC.2.2.2: Aggregative processes (data mining and medical research) can
be run over the set of specific resources accumulated with
knowledge-of-process-structure.
UC.2.2.3: Knowledge-of-process-structure can be encoded as a structural holonomy and placed
In-Memory.
UC.3: Conversion of community knowledge into
knowledge-of-process-structures.
UC.3.1: natural language captures the
evolution of knowledge within communities.
UC.3.2: Formal systems capture the evolution
of knowledge in the context of scientific research
UC.3.3: Artificial systems (finite state
machines) have a simple encoding that leads to a physical model of computing
and to a periodic table for computational elements. The capture of this periodic table will lead to a revolution in
computer science because of the simplicity and the power of the periodic table.
The Fourth Product: Infrastructure Development for Private Virtual
Networks
Private Virtual Networks (PVN) are developing around the world. These networks can be developed based on the
true knowledge of the failures and successes of the existing World Wide
Web. A new operating system for PVNs
is being developed. Fundamental science
leads to new features including:
1)
Anticipatory
PVN nodes
2) Knowledge
representation structures
3) Fast
algorithmic treatment of ontologystreaming
Several major clients are in discussion with
OSI regarding the development of PVNs.
For more information on these discussions, please contact:
Dr. Paul S. Prueitt at beadmaster@ontologystream.com.