OSI KOS System description
- System description
The OSI Knowledge Operating System (KOS) develops capabilities for tracking
global trends and anticipating events. The system brings together a variety
of innovative components to provide an "intelligence-vetting engine" that
globally tracks emerging ideas around any selected topic and around specific
event types. The OSI KOS is used in patent trending to provide an economic
engine for a community of knowledge scientists operating under the
principles laid on in the Behavioral Computational Neuroscience Group
(BCNGroup) (1997) Chapter.
Collection OSI KOS systems will automatically monitor information flow in
the Internet on a 24/7 basis, looking for new items that are related to the
subject and event areas that we track. Smart mobile programs look for new
and novel relationships not previously anticipated and send data structures
into centralized information vetting systems, staffed by humans. For
example, all Internet published scientific conferences in a specific area of
interest might be mined for trending analysis of intellectual property
trends. Conceptual mining is language independent. Thus human annotation of
emerging concept trends can be done in ones native language and the
annotation incorporated into a single generalized cA/eC index (knowledge
base). Language independent topic maps are constructed using the OASIS
standard for topic maps. KOS systems can also be pointed at scientific data
sources or repository of text such as patent repositories or e-forum text.
Storage - Our collected information is stored in categorical abstraction and
event chemistry formats that allow the content of records (a source of data)
to be directly related to any (and all) other records (data sources). The
devices map the structural coupling of the collected information. They
serve as indices and generalized indices. The maps are cA/eC data
structures that are independent second order control mechanisms used in
information query and routing using cA and anticipatory responses. A
tri-level architecture is used that separates categorical abstraction (cA)
from an event knowledge base. Event Chemistry (eC) then results from the
aggregation of cA under the constraints of the existing event knowledge
Extraction - A number of mature technologies extract information from data
sources. This information is diffused into a substructure layer (cA) of
information that serves the agile reconstruction of information in context
(eC). The agile technology allows us to look at an object of investigation
from many different perspectives. The extraction process is represented as
categorical invariance in the patterns of word expressions and processed
into a central (small) knowledge base. The size of the knowledge base is
due to our use of categorical abstraction methodology. Information
compression, routing and extension (inference) processes are achieved using
an In-Memory Referential Information Base system (I-RIB) that denotes a
graph structure containing the structural relationship that have been found
to exist in the data.
Analysis - A number of analytical tools automatically develops ontologies
and taxonomies. But in cA/eC systems, logical and structural relationships
are rendered visually and with auditory sounds. The operating structure of
a given area of knowledge - such as "national security" is visually
rendered. Various scenarios are generated based upon the intrinsic
functions of components of the system. Humans are assisted in exploring
variations in strategies and in storing work product related to these
investigations. Knowledge management specialists can study Human
Information Interactions (HII) with the systems second order control
Simulation and senseMaking The display of cA/eC pushes the cognitive load
away from the AI computer programs and onto the capable hands of humans.
The notion of formal deduction is replaced with an extension of
quasi-axiomatic theory (to replace the expert system technologies) and human
visual and auditory experience of cA/eC. What if scenarios and conjectures
about causes take a new form where humans in small communities develop human
language meaning based on the discussions about the various cA/eC defined
Display The KOS provides breakthrough capabilities for identifying and
monitoring early indicators of significant change. Visualization of the
categories of data and relationship between this data enhances the ability
of analysts to develop anticipation of emerging events.
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