Constructing an Issue Network from the Perspective of Common R&D Keywords
Namgyu Kim, William Wong Xiu Shun, Jieun Kim, Kee-Young Kwahk, Seung-Ryul Jeong, Hyunchul Ahn · 2014
The demand for extracting keywords related to national issues from various sources and using them to retrieve R&D information has increased rapidly recently. In order to satisfy this demand, three methodologies are proposed in this study: a hybrid methodology for extracting and integrating national issue keywords, a methodology for packaging R&D information that corresponds to national issues, and a methodology for generating an associative issue network related to relevant R&D information. Data analysis techniques, such as text mining, social network analysis, and association rules mining, are utilized to establish these methodologies.