House calls : building and maintaining a rule-base

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AuthorSearch for: ; Search for: ; Search for:
TypeArticle
Journal titleKnowledge Acquisition
ISSN1042-8143
Volume1
Issue4
Pages379402; # of pages: 24
AbstractA knowledge-acquisition system was designed and built to help an architectural firm automate their diagnosis of building problems. The system was tailored to the firm's database system and building survey method. Rules are generated from the data by the induction learning algorithms ID3 or AQll and the orderly development of the rule-base is ensured by a verification procedure. Architectural diagnostics rely on the expertise of an experienced analyst. Building diagnostic processes require spatial, verbal and numerical reasoning. The rigid data structure imposed by the firm excluded crucial levels of semantic information. Induction methods proved useful tools for organizing data, but the expertise was captured by ad hac editing of the rule-base. This project identified a need in the building industry to develop a taxonomy and a representation to support the building diagnostic process.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
IdentifierIRC-P-3252
NRC number36005
3858
NPARC number20375199
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Record identifier69755865-90ae-49c0-822a-556f35493f0d
Record created2012-07-23
Record modified2016-05-09
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