Welcome to the InfoSci Platform
A Knowledge Extraction and Design Support System for Supporting Industrial and Product Design

A Knowledge Extraction and Design Support System for Supporting Industrial and Product Design

W. B. Lee, W. M. Wang, C. F. Cheung, Z. H. Wu
Copyright: © 2017 |Volume: 4 |Issue: 2 |Pages: 18
ISSN: 2155-4153|EISSN: 2155-4161|EISBN13: 9781522514886|DOI: 10.4018/IJAIE.2017070101
Cite Article Cite Article

MLA

Lee, W. B., et al. "A Knowledge Extraction and Design Support System for Supporting Industrial and Product Design." IJAIE vol.4, no.2 2017: pp.1-18. http://doi.org/10.4018/IJAIE.2017070101

APA

Lee, W. B., Wang, W. M., Cheung, C. F., & Wu, Z. H. (2017). A Knowledge Extraction and Design Support System for Supporting Industrial and Product Design. International Journal of Applied Industrial Engineering (IJAIE), 4(2), 1-18. http://doi.org/10.4018/IJAIE.2017070101

Chicago

Lee, W. B., et al. "A Knowledge Extraction and Design Support System for Supporting Industrial and Product Design," International Journal of Applied Industrial Engineering (IJAIE) 4, no.2: 1-18. http://doi.org/10.4018/IJAIE.2017070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Industrial and product design involves a lot of unstructured information for the generation of innovative product design ideas. However, the generation of innovative design concepts is not only time consuming but also heavily relies on the experience of product designers. Most existing systems focus mainly on the technical aspects of realizing product designs, which are inadequate to support concept generation process at the pre-design stage. In this paper, a knowledge extraction and design support system (KEDSS) is presented. The system aims at extracting key design concepts and depicting the trends of these concepts from the massive amount of unstructured design information in the open domain. A summary report, a related concept list, and concept trend graphs are produced based on the inputs of the designers' design ideas. A series of experiments have been conducted to measure the performance of the system. Moreover, the system has been successfully trial implemented as part of a public service platform for modern industrial design of injection molding machinery and equipment.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.