首页    期刊浏览 2025年04月20日 星期日
登录注册

文章基本信息

  • 标题:A method for extracting design rationale knowledge based on Text Mining
  • 本地全文:下载
  • 作者:Jihong Liu ; Jiaji Wang ; Kejian Wang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:139
  • 页码:1-5
  • DOI:10.1051/matecconf/201713900015
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Capture design rationale (DR) knowledge and presenting it to designers by good form, which have great significance for design reuse and design innovation. Since the 1970s design rationality began to develop, many teams have developed their own design rational system. However, the DR acquisition system is not intelligent enough, and it still requires designers to do a lot of operations. In addition, the existing design documents contain a large number of DR knowledge, but it has not been well excavated. Therefore, a method and system are needed to better extract DR knowledge in design documents. We have proposed a DRKH (design rationale knowledge hierarchy) model for DR representation. The DRKH model has three layers, respectively as design intent layer, design decision layer and design basis layer. In this paper, we use text mining method to extract DR from design documents and construct DR model. Finally, the welding robot design specification is taken as an example to demonstrate the system interface.
国家哲学社会科学文献中心版权所有