| id |
caadria2005_a_7a_d |
| authors |
Chieh-Jen Lin, Mao-Lin Chiu |
| year |
2005 |
| title |
Ontology Based Design Knowledge Detective Agent |
| doi |
https://doi.org/10.52842/conf.caadria.2005.239
|
| source |
CAADRIA 2005 [Proceedings of the 10th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] New Delhi (India) 28-30 April 2005, vol. 1, pp. 239-250 |
| summary |
Design knowledge abstracted from cases is important for designers. This paper is aimed to build an agent to detect those correlations between explicit features of design cases and relevant design problems. Using the data mining algorithm, we have accumulated a list of keywords about design problems and their relevant concept from textual information of a case library, and established their semantic ontology by clustering their semantic and sentence structural relations from previous studies. Meanwhile, we also established another hierarchical ontology of explicit design case features by applying design domain knowledge. Then, through mapping semantic relations of relevant keywords between two ontologies, the system will become more sensitive to the correlations of design case features and relevant design problems. Finally, a graphical interface is built to visualize these correlations and help user to recognize useful design knowledge cached in design cases. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (80,822 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:55 |
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