Abstract
Case-based reasoning and knowledge discovery are two independent fields in Al, which together can provide a design support environment for structural enigineers during the synthesis of new designs. Case-based reasoning relies on the representation of previous design cases for reminding designers of relevant past experience. Knowledge discovery is a way of finding patterns in data that can be considered new or generalised knowledge. By combining the two Al techniques, a case library can be the source of past episodic information as well as a source for discovering new patterns. We discuss the development of a multimedia library of structural design cases and the use of knowledge discovery techniques on multmimedia data to provide an environment for assisting in the development of new structural designs. We demonstrate the text analysis part of knowledge discovery from the SAM multimedia case library.
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Maher, M.L., Simoff, S.J. (1998). Knowledge discovery from multimedia case libraries. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030452
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DOI: https://doi.org/10.1007/BFb0030452
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