Creating Using Systems That Know 08.ppt
Creating Using Systems That Know 08.pdf

Richard L. Ballard – Chief Software Scientist, is a physicist by education and innovative technology pioneer by vocation. For the past 30 years Dr. Ballard has been a leader in knowledge science and semantic technology development. While at UC Irvine, Ballard was cited for the first application of artificial intelligence to conceptual learning (Expert Systems in Business). As a founder of Apple Education Foundation with Steve Jobs in 1978, he began work on semantic web applications in support of educational publishing and game development. His research lead him into Star Wars missile defense programs, which emerged in the early 1990's into the development of semantic web and decision management tools that have been deployed at the highest levels of government. During the 80's & 90's, Ballard completed 50 knowledge projects of national importance for the DoD, USNAVY, USAF, NASA, DEA, FAA, Office of the White House, private industry and others. Ballard's revolutionary knowledge science and declarative semantic technologies offer a real option to move the world from the Information Age into the Knowledge Age. Ballard has received 128 software citations, developed 21 Educational Software Workshops, 3 Management Software Workshops and delivered a current 10 Week Professional Knowledge Engineering at UCI. Ballard has been published in 35 publications and technical reports. Ph.D. UC Berkeley; Fellow NASA Institute for Space Physics, Columbia University.

Dennis L. Thomas, Executive Vice President- has worked with Dr. Ballard since 2002 providing research, analysis and technical writing on theory-based semantics and Mark 3. Thomas has spearheaded the development and implementation of KF’s strategic business plan and operational infrastructure. His background includes more than 28 years private and public business experience as a senior executive. Experience includes P&L responsibility, strategic business and market planning, operations, marketing and sales of complex product and services, and IT infrastructure. Technical skills include database management systems, work-flow analysis, process modeling and implementation, eCommerce. Mr. Thomas has a BA from the University of California, Irvine.

ABOUT KNOWLEDGE FOUNDATIONS, INC. Knowledge Foundations, Inc. is a semantic software engineering company and inventor of a revolutionary, 3rd generation, semantic technology called Mark 3 Knowledge Platform. Mark 3 enables cost effective acquisition, long-term retention, and enterprise-wide application of proprietary knowledge to optimize decision support, theory-based job training, intelligent business process and infrastructure data integration and storage. Non-programming professionals develop knowledge stores from the very books, manuals, documents, applications and databases that enterprise operations are based on, to include the vital knowledge of employees and subject experts. The Mark 3 Builder self-builds and organizes the concepts, ideas and thought patterns from these resources, and the theory that justifies their relatonships, into highly integrated, machine understandable knowledge stores. Intelligence is interwoven into every concept, idea and thought pattern, allowing the Mark 3 Constraint Browser to reason across missions, values, objectives, strategies, policies, procedures, functions, tasks and processes to precisely answer "who," "what," "when," "where" and "how much" data questions, and "how," "why" and "what if" resoning questions, on-the-fly, no matter how complex the knowledge domain. Mark 3 introduces the first knowledge platform to organically model cross-functional, cross-departmental enterprise knowledge to significantly increase efficiency, performance, profitability and sustained competitive advantage, while decreasing labor, operating and equipment costs. Commercial realease of Mark 3 is scheduled for 2009.

Synopsis: People make decisions based on values, beliefs and theoretical
understanding learned from enculturation, education, life experience
and analytical thought.  Self-consistent proofs, and logic, play a
lessor role.  Science, engineering, business, law and other
disciplines require more rigorous foundations for decision- making,
which include empirical evidence, proven processes, rules,
methodologies and standards, along with a myriad of variables.

This presentation address a new technology founded on a "knowledge
science" that defines that "Knowledge = Theory + Information," and
that the full spectrum of physical and metaphysical concepts can be
explicitly represented within the machine environment to create

Attendees will gain insight into a new knowledge architecture that
self-builds and organizes content without pre- defined structure or
indexing, and how "language of thought" knowledge stores reason
rationally to answer "how," "why" and "what- if" questions on-the-fly,
no matter how complex the knowledge domain.  Attendees will have the
opportunity to sign-up for a free, pre-release limited beta copy due
in 2009.