We bring fidelity to Knowledge solution issues .
Value added technology and methodology
in:
1:
Knowledge Process Management Practice
2:
Intellectual Property (IP) Deployment and Evaluation
2:
Vetting Process for new Knowledge Technologies
3:
Situational Semantic Algebra and Logics
4: In-Memory database
for analytic retrieval and fast algorithms
Knowledge
Process Management Practice
OSI Knowledge Process Management Practice is based on selected principles
from cognitive neuroscience, research on human memory and anticipation, linguistics
and systems theory. The Practice
directly takes on the natural complexity in Knowledge Process Management.
We enumerate the elements (topics) of a universe of
discourse and then make these elements the controlling construct for
elicitation and sharing of human knowledge. A preliminary discussion is required to
demonstration how we address the natural complexity in Knowledge Process
Management. Please call 703-981-2676.
Intellectual
Property (IP) Deployment and Evaluation and Vetting Process for new Knowledge
Technologies
A
standard consulting product is available for evaluation of technology. The
evaluation consists of an
- Objective
review of the degree to which the technology and the deployment philosophy
is consistent with scientific work on the nature of social and individual knowledge.
- Review of the
Patent and other IP disclosures and the placement of IP disclosure within
the scope of other related IP disclosure
- Literature
review that places the IP in the context of scholarship
- Technical
review of the computer science and Information Technology
OSI has developed a process model for bringing information
technology innovations into adopted technology. This model is based, in part, in the Cambridge Group’s (Don
Campbell) model of Innovation adoption as Technology.
Situational
Semantic Algebra and Logics and In-Memory
database for analytic retrieval and fast algorithms
Text mining techniques provide a formal means to
cite conceptual work derived from the text of a document. Citation practice is an integral part of the
academic and professional culture. The
citation provides one means to link together the elements of a virtual
document. Hypertext markup using HTML
and XML naturally provides a means to navigate within a virtual collection of
documents. Both automated citation and
hypertext markup is supported.
Data mining technologies provide fundamental
advances in establishing very fast and complex retrieval from distributed
heterogeneous data sources. These
solutions are consistent with certain essential requirements of knowledge
technology. For example, real advances
in speed alter what can be done in a machine / human action-perception
cycle. New data mining and data base
technology enable adaptive portals at the fingertip, rather than a simple
hyper-linked virtual document.
In-Memory databases have great value. Speed of processing adds an additional
dimension to problems that knowledge technology must solve. In traditional data aggregation and mining
processes, the necessary algorithmic processes cannot be or are not achieved in
the time required to produce positive results.
A “time-to-delivery” problem exists. In-Memory databases can be defined as mathematical (non standard
data warehouse) so that the speed of processing is several orders of magnitude
faster.