Guidance for Knowledge Acquisition in Large-Scale Knowledge Bases
This is a summary of the participation of the
in DARPA's new program on
High-Performance Knowledge Bases .
This work will build on the EXPECT architecture and
extend it in three ways:
- EXCALIBUR: the next generation of the current EXPECT system,
our framework for developing KBSs that includes knowledge
acquisition tools. EXCALIBUR will include an extended
language for problem-solving knowledge and an
extended KBS compiler.
- SHERPA: an acquisition mediator that will support knowledge
acquisition for KBSs not developed with our framework.
The mediator will have (possibly incomplete) models of
the KBS reasoning, and will use them to selectively route
updates to the knowledge library.
- LIBRA: a framework for representing and managing a library
of problem-solving methods, including indexing tools,
composition tools, and selection tools.
is available from the presentation at the West Coast kickoff meeting
that took place in March, 1997.
Relevant parts of the technical proposal, entitled
"Knowledge Acquisition for Large Knowledge Bases:
Integrating Problem-Solving Methods and Ontologies into
Applications" can be found
For more information about EXPECT, send mail to
Last updated: March, 1997.