A social voting approach for scientific domain vocabularies construction

Hongbing Jiang, Chen Yang (), Jian Ma, Thushari Silva and Huaping Chen
Additional contact information
Hongbing Jiang: University of Science and Technology of China
Chen Yang: Shenzhen University
Jian Ma: City University of Hong Kong
Thushari Silva: City University of Hong Kong
Huaping Chen: University of Science and Technology of China

Scientometrics, 2016, vol. 108, issue 2, No 15, 803-820

Abstract: Abstract Scientific domain vocabularies play an important role in academic communication and lean research management. Confronted with the dramatic increasing of new keywords, the continuous development of a domain vocabulary is important for the domain to keep its long survival in the scientific context. Current methods based either on statistical or linguistic approaches can automatically generate vocabularies that consist of popular keywords, but these approaches fail to capture high-quality standardized terms due to the lack of human intervention. Manual methods take use of human knowledge, but they are both time-consuming and expensive. In order to overcome these deficiencies, this research proposes a novel social voting approach to construct scientific domain vocabularies. It integrates automatic system and human knowledge based on the theory of linguistic arbitrariness and selects widely accepted standardized set of keywords based on social voting. A social voting system has been implemented to aid scientific domain vocabulary construction in the National Natural Science Foundation of China. Two experiments are conducted to demonstrate the effectiveness and validity of the built system. The results show that the constructed domain vocabulary using this system covers a wide range of areas under a discipline and it facilitates the standardization of scientific terminology.

Keywords: R&D management; Information mapping; Vocabularies construction; Social voting systems; Researcher profiling (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1990-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-016-1990-6

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-016-1990-6

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().