Yoon, B; Lee, S; Lee, G. 2010. Development and application of a keyword-based knowledge map for effective R&D planning. SCIENTOMETRICS 85 (3): 803-820

[Eugene Garfield]

Yoon, B; Lee, S; Lee, G. 2010. Development and application of a keyword-
based knowledge map for effective R&D planning. SCIENTOMETRICS 85 (3): 
803-820

Author Full Name(s): Yoon, Byungun; Lee, Sungjoo; Lee, Gwanghee
Language: English
Document Type: Article

Author Keywords: Knowledge map; Research proposal database; Text mining; 
Network analysis; R&D
KeyWords Plus: BIBLIOMETRIC METHODS; FORESIGHT EXERCISES; SCIENCE; 
UNIVERSITIES; NETWORKS

Abstract: With the growing recognition of the importance of knowledge 
creation, knowledge maps are being regarded as a critical tool for successful 
knowledge management. However, the various methods of developing 
knowledge maps mostly depend on unsystematic processes and the judgment 
of domain experts with a wide range of untapped information. Thus, this 
research aims to propose a new approach to generate knowledge maps by 
mining document databases that have hardly been examined, thereby enabling 
an automatic development process and the extraction of significant implications 
from the maps. To this end, the accepted research proposal database of the 
Korea Research Foundation (KRF), which includes a huge knowledge repository 
of research, is investigated for inducing a keyword-based knowledge map. 
During the developmental process, text mining plays an important role in 
extracting meaningful information from documents, and network analysis is 
applied to visualize the relations between research categories and measure the 
value of network indices. Five types of knowledge maps (core R&D map, R&D 
trend map, R&D concentration map, R&D relation map, and R&D cluster map) 
are developed to explore the main research themes, monitor research trends, 
discover relations between R&D areas, regions, and universities, and derive 
clusters of research categories. The results can be used to establish a policy 
to support promising R&D areas and devise a long-term research plan.

Addresses: [Lee, Sungjoo] Ajou Univ, Dept Ind & Informat Syst Engn, Suwon 
443749, South Korea; [Yoon, Byungun] Dongguk Univ Seoul, Dept Ind & Syst 
Engn, Seoul 100715, South Korea; [Lee, Gwanghee] Natl Res Fdn Korea, Publ 
Adm, Taejon 305350, South Korea
Reprint Address: Lee, S, Ajou Univ, Dept Ind & Informat Syst Engn, San 5, 
Suwon 443749, South Korea.

E-mail Address: postman3 at dongguk.edu; sungjoo at ajou.ac.kr; 
thomas at nrf.go.kr
ISSN: 0138-9130
DOI: 10.1007/s11192-010-0294-5
Fulltext: http://www.springerlink.com/content/y477v11170127644/