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The Knowledge Sharing Foundation

Questions and Answers

September 16, 2003

Q-1: What is needed to support awareness of natural and cyber events in real time?

Q-2: What is needed to support community use of analytic tools?

Q-3: What are the benefits to Industry

Q-4: What are the Foundation Elements

Q-5: Examples of Innovation

Q-6: Why are educational processes important?

Q-7: How does the software compensation model work?

Q-8: How are test sets made available to the competitive communities?

Q-1: What is needed to support awareness of natural and cyber events in real time?

A-1: The structure of data produced from measurement.

 

• Real time web harvest of natural language discourse (Memetic measurement)

• Cyber intrusion instrumentation and analysis (Cyber measurement)

• Global measurement of reports from medical professionals (Genetic measurement)

• Measurement of social network relationships and dynamic boundaries of social systems (as applied to mapping asymmetric threats)

 

A-2: New stratified theory

• With an aggregation of invariance in the structure of data.

• With a separation of statistical and categorical artifacts in correspondence with human memory processes and human anticipatory responses

• With the production of just in time machine-ontology formation as cognitive enhancement

• With the development of event templates indicating meaningful constructs

 

A-3: Educational processes that allow users of intelligence system to work within the limitations of machine and artificial intelligence.

 

• University course credit

• Professional Accreditation

Q-2: What is needed to support community use of analytic tools?

A-1: A distributed collaborative framework

• Tools expressed as un-encumbered capabilities

• University certified educational support on all tools

 

A-2: Tool stability and tool interoperability

• Separation of all module services from vendor control

• Open-results competitive testing of all modules

 

A-3: Community based compensation infrastructure

 

• Commercial rights are protected with copyright and patents

• Use-compensation based on software self-accounting to honor copyright and patents

• Micro-transaction accounting and payment for services embedded in each software component.

Q-3: What are the benefits to Industry

A-1: Establish coherence within the market space

 

A-2: Advance the state of the art for information generation systems and open new markets

 

A-3: Establish a new basis for innovation

 

A-4: Intellectual Property mapping and patent evaluation will result in a reduction of uncertainty over ownership

Q-4: What are the Foundation Elements

A-1: Processes

• Text Transformed into Structured Data

• Unsupervised Pattern Mining

• Supervised Categorization

• Situational Logic Development

• Logical Inference

• Procedure Learning

• Event Detection from Data Invariance

• Knowledge Flow Mapping

• Social network and linguistic variation analysis

 

A-2: Subsystems

• Single-algorithm Analytic Servers

• Multiple User Domain

• Ontology based Inference Engine

 

A-3: The Human Element

• Knowledge Encoding and Propagation

• Information Visualization

• Cognitive Priming

• Multi-modal interaction

 

A-4: Single-Algorithm Analytic Servers

• Latent Semantic Technology

• Self-Organizing Maps

• Concept-Based Document Indexing

• Context-Free Grammar Parsing

• Clustering

• Supervised Text Classification

• Evolutionary Optimization

• Associative memory and top down expectation using neural networks

• Social network theory and analysis

Q-5: Examples of Innovation

A-1: Categorical Abstraction

• Invariance in the data is used to construct situational logic

• Continuum mathematics methods are used to derive an "implicit ontology" from a body of documents or other data sources

• An "explicit ontology" is provided by human beings, e.g. in the form of categorized sentences, and then refined using iteration

• Human feedback and inference rules are used to further refine & process the derived classifications

 

 

A-2: Event Chemistry

• A technique for searching datasets for signs of real world events

• Takes abstract atoms of invariance observed in data, and forms interesting combinations of them

• Requires a Human-in-the-loop cognitive acuity to provide interpretation of meaning

• Works naturally with the output of semi-supervised text classification, clustering and categorization methodology

• Fits naturally with "chemical compound" metaphor, where a period table of atomic elements are discovered and used in event detection

 

 

A-3: Referential Bases

• Post relational database technology, using new types of algorithms

• (type:value) pair data constructions encode localization of information without schema

• (type:value) pair data construction organizational processes has well delineated correspondence to human memory and anticipation

• Referential bases support stratified processing so the ontology constructions can be formative and situational

Q-6: Why are educational processes important?

A-1: The systemic development of educational processes involves

 

• the development of consensus on what are the separated techniques in computational intelligence

• The mapping of scholarly literature helps in comprehensive mapping of patent disclosure and copyright

 

A-2: As this consensus develops,

 

• the description of general systems theory, cognitive and social science is made available within the academic community

• a "liberal arts" education in the knowledge sciences is made available to intelligence analysts

Q-7: How does the software compensation model work?

A-1: Analytic features are to be replicated from existing software and implemented as separated components.

 

• A mapping of all software based innovation in the area of computational intelligence is developed based on latent semantic technology indexing of patents and copyrights

• In cases where the core technology has legitimate ownership, then licenses are arranged

• In cases where the core technology is developed by the government then the core engines are made public domain

• Each core technology component is rendered in binary with an internal accounting module that reports usage as part of a knowledge flow mapping and use compensation (when appropriate)

Q-8: How are test sets made available to the competitive communities?

A-1: The system of core objects is open to innovation.

 

• Negotiations to acquire a new innovation occur through Intellectual Property mapping processes and comprehensive testing of object inherit capability

 

• Innovations targeted for acquisitions are studied in highly structured usability testing that includes deep education in the innovations' inherit capabilities.

 

• These acquisition studies are conducted in the public view and are not governed by commercial processes.

Knowledge Sharing and SenseMaking diagram

 

Contact:

Dr. Paul S. Prueitt
Research Professor
The George Washington University
Ontology Stream Inc
BCNGroup.org
703-981-2676