A rule induction-based knowledge system for retaining wall selection

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12 Scopus citations


Knowledge acquisition is the chief constraint in constructing a rule-based knowledge system (RBKS). Knowing how to use the automatic method to elicit required knowledge is a key issue in implementing a RBKS in the experience-oriented construction domain. Rule induction (RI) is one of the fastest means of extracting rule-based knowledge from previous cases. This paper presents a model (AMASS) that integrates a RI approach, a RBKS, and a database management system to support automated knowledge mining and usage. A typical experience-oriented problem in construction domain, selecting a suitable retaining wall system in construction planning stage, is employed to demonstrate how to implement the AMASS model.

Original languageEnglish
Pages (from-to)273-279
Number of pages7
JournalExpert Systems with Applications
Issue number3
StatePublished - 1 Oct 2002


  • Automatic knowledge acquisition
  • Retaining wall selection
  • Rule induction
  • Rule-based knowledge system


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