A Knowledge Entry System for Subject Matter Expert Essay

This essay has a total of 521 words and 3 pages.

A Knowledge Entry System for Subject Matter Experts

The High Performance Knowledge Bases (HPKB) project demonstrated that the teams of
knowledge engineers working together could create knowledge bases (KBs) roughly at the
rate of 10K axioms/year for a pre-specified task and evaluation criteria. The HPKB effort
showed that it is possible to create KBs by reusing the content of knowledge libraries,
and it demonstrated reuse rates ranging from 25% to 100%, depending on the application and
the knowledge engineer. It was acknowledged that the ability of a subject matter expert
(SME) to directly enter knowledge is essential to improve the KB construction rates.


The SRI team is developing a system for direct knowledge entry by SMEs as an integrated
team of technology developers. The SRI team includes Boeing, Information Sciences
Institute (ISI) at University of Southern California, Northwestern University, Pacific
Sierra Research (PSR), Stanford University, University of Massachusetts at Amherst,
University of Texas at Austin, and University of West Florida. Knowledge Systems
Laboratory at Stanford, Pragati Systems, and Massachusetts Insititute of Technology joined
the team after the contract award.


The claim of this effort is that SMEs, unassisted by AI technologists, can assemble models
of mechanisms and processes from components. These models are both declarative and
executable, so questions about the mechanisms and processes can be answered by
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