Abstract
This work aims to implement expert and collaborative group recommendation services through an analysis of expertise and network relations NTIS. First of all, expertise database has been constructed by extracting keywords after indexing national R&D information in Korea (human resources, project and outcome) and applying expertise calculation algorithm. In consideration of the characteristics of national R&D information, weight values have been selected. Then, expertise points were calculated by applying weighted values. In addition, joint research and collaborative relations were implemented in a knowledge map format through network analysis using national R&D information.
Similar content being viewed by others
References
LEE Hyun-jin, JEE Tae-chang. Social networks analysis using external community relationship [J]. Journal of Digital Contents Society, 2011, 12(1): 69–75.
KIM Sang-kyun, JANG Hyun-chul, YEA Sang-jun, HAN Jeong-min. Expert recommendation system based on XMDR using social network [J]. The Journal of the Korea Institute of Maritime Information & Communication Sciences, 2011, 15(3): 691–699.
ISMAEL R, ALANL P, LOET L. Science overlay maps: A new tool for research policy and library management journal of the American Society for Information Science and Technology [J]. JASIST, 2010, 61(9): 1871–1887.
PARK Sang-won, CHOI Eun-jeong, PARK Min-su, KIM Jeong-gyu, SEO Eun-seok. An expert recommendation system using ontology-based social network analysis [J]. Journal of KIISE, 2009, 15(5): 390–394.
KISTI. Construction of the National Science & Technology Information Service [R]. KISTI REPORT, 2011.
SHIN Su-mi, YANG Myung-seok. National R&D Researcher Collaboration Network Service [J]. KSII, 2011, 12(1): 5–434.
JOHO H, SANDERSON M. Document frequency and term specificity [C]// Proceeding of RIAO’ 07 Large Scale Semantic Access to Content (Text, Image, Video, and Sound), 2007: 350–359.
BROWN P F, de SOUZA P V, MERCER R L, PIETRA V J D, LAI J C. Class-based n-gram models of natural language [J]. Journal of Computational Linguistics Archive, 1992, 18(4): 467–479.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Project(N-12-NM-LU01-C01) supported by Construction of NTIS (National Science & Technology Information Service) Program Funded by the National Science & Technology Commission (NSTC), Korea
Rights and permissions
About this article
Cite this article
Yang, Ms., Kang, Nk., Kim, Yj. et al. Expert recommendation system based on analyzing expertise and networks of human resources in National Science & Technology Information Service. J. Cent. South Univ. 20, 2212–2218 (2013). https://doi.org/10.1007/s11771-013-1726-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11771-013-1726-1