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Supplemental knowledge acquisition through external product interface for CLIPSTraditionally, the acquisition of knowledge for expert systems consisted of the interview process with the domain or subject matter expert (SME), observation of domain environment, and information gathering and research which constituted a direct form of knowledge acquisition (KA). The knowledge engineer would be responsible for accumulating pertinent information and/or knowledge from the SME(s) for input into the appropriate expert system development tool. The direct KA process may (or may not) have included forms of data or documentation to incorporate from the SME's surroundings. The differentiation between direct KA and supplemental KA (indirect) would be the difference in the use of data. In acquiring supplemental knowledge, the knowledge engineer would access other types of evidence (manuals, documents, data files, spreadsheets, etc.) that would support the reasoning or premises of the SME. When an expert makes a decision in a particular task, one tool that may have been used to justify a recommendation, would have been a spreadsheet total or column figure. Locating specific decision points from that data within the SME's framework would constitute supplemental KA. Data used for a specific purpose in one system or environment would be used as supplemental knowledge for another, specifically a CLIPS project.
Document ID
19960001811
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Saito, Tim
(Computer Sciences Corp. Houston, TX, United States)
Ebaud, Stephen
(Houston Univ. TX., United States)
Loftin, Bowen R.
(Houston Univ. TX., United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Johnson Space Center, First CLIPS Conference Proceedings, Volume 1
Subject Category
Computer Systems
Accession Number
96N11819
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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