Trial of Efficient Knowledge Extension for Design Ideation through Information Technology

Abstract

Knowledge extension and recall enhancement by IT are important to support the generation of innovative product ideas. Although there have been studies to enhance recall from databases of patent information and academic papers, we proposed a method to collect highly unknown knowledge from the Internet for efficient knowledge expansion and collection of information not limited to the engineering field. We defined "minority information" as one of the conditions for low unknown information, and attempted to sort web pages in the order that they contain descriptions of minority cases by handling the language information of each web page. The results showed that there is a relationship between the low number of descriptions on the Internet and the low degree of unknowns. In the future, we will continue to study new conditions for high unknowns and aim to improve methods for collecting linguistic information on the Internet, which varies in format.