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D. Lenat and R. Guha, Building Large Knowledge Based
Systems: Representation and Inference in the Cyc Project.
Addison-Wesley Publishing, 1990.
Author of the summary: J. William Murdock, 1997, murdock@cc.gatech.edu
Cite this paper for:
- Flexible reasoning requires a very large base of common
knowledge.
Keywords: Knowledge, Ontology
Systems: CYC
Summary: Chapter 1: Observes that current expert systems are
excessively brittle and incapable of effectively handling novel
situations. Argues that general knowledge is needed to support more
flexible reasoning. Discusses the importance of deep knowledge for
effective analogy. Observes the problems in sharing of knowledge
between expert systems which use even subtly different ontologies.
Introduces the CYC project. States that the set of primitives being
defined is converging. Argues against natural language understanding
and machine learning as shortcuts to building knowledge bases.
States, however, an expectation that with sufficient knowledge,
natural language understanding will be possible to allow the system to
extend itself (by 1994).
Chapter 2: Presents the goals of the CYC project. Discusses the user
interface for data entry. Presents a language, CyCL, which uses a
frame-based syntax with a more powerful (but less tractable)
predicate-calculus constraint language for describing conceptually
challenging information. Discusses implementation details. Presents
some very general inferencing rules. Discusses the constraint language
in some detail.
Summary author's notes:
- This summary came from a file which had the following
disclaimer:
"The following summaries are the completely unedited and often
hastily composed interpretations of a single individual without any
sort of systematic or considered review. As such it is very likely
that at least some of the following text is incomplete, inadequate,
misleading, or simply wrong. One might view this as a very
preliminary draft of a survey paper that will probably never be
completed. The author disclaims all responsibility for the accuracy
or use of this document; this is not an official publication of the
Georgia Institute of Technology or the College of Computing thereof,
and the opinions expressed here may not even fully match the fully
considered opinions of the author much less the general opinions of
the aformentioned organizations."
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