Design Knowledge Discovery in Cases - The Machine View Vs. the Human View
Chieh-Jen Lin, Mao-Lin Chiu · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · 2004
In the previous study, we had applied the data mining techniques and ontology methodology to develop a keyword-based schema to extract and represent the implicit information within a case library, Case Base for Architecture (CBA). To improve the ability of our keyword-based schema on extracting and representing design knowledge within cases, we proceeded some experiments to understand the design’s mental behaviors in extracting knowledge from cases. Through protocol analysis, we attempted to establish a knowledge discovery model of extracting design knowledge from cases, and to propose methods to apply this model to improve our keyword-based schema. Through collecting adjective keywords to restructure our design dictionary, we attempt to make our system more sensitive to design knowledge, and more sensitive to user’s intensions by extending the ontology of our keyword list.