A study of Internet-knowledge acquiring method to aid thinking in product design

• Published in: 2009 2nd IEEE International Conference on Computer Science and Information Technology pp. 472 - 475
• Main Authors: Feng Zhao, Wei-Ping He, Hao-Zhong Yang, Jin-Liang Chen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2009
• Subjects: Cognition; computer-aided thinking; Concrete; Data mining; Educational institutions; Filtration; Internet; knowledge element extraction; knowledge texts of experts; Laboratories; Manufacturing; product creation design; Product design; Technological innovation
• ISBN: 1424445191; 9781424445196
• DOI: 10.1109/ICCSIT.2009.5234822

In order to solve such problems as lack of innovative knowledge in the process of product creation design and the resulting exhaustion of creative thinking sources, this thesis propose a method to obtain from the Internet the knowledge which has auxiliary effects on creative thinking, by taking into consideration the knowledge categories and its characteristics in the product innovation design. First, the author puts forward and analyses the thought and reason which take knowledge texts of expert as the description carrier of his thinking and cognition condition, and expands the vocabulary of public features in knowledge texts on the basis of domain ontology. Based on the above, knowledge which conforms to the thinking and cognition condition of experts is acquired from the Internet through search and filtration. Then, the knowledge base of product creation design to help innovative thinking is constructed by adopting the technology of knowledge element extraction and the knowledge structural representation is effected in the form of semantic network of knowledge elements. In the end of this paper, the author cites a concrete example to demonstrate the effectiveness and validity of the proposed method in stimulating innovative thinking.