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Build Up of a Subject Classification System from Collective Intelligence

Yoon, Jisung / Yun, Jinhyuk / Jung, Woo-Sung

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Abstract

Systematized subject classification is essential for funding and assessing scientific projects. Conventionally, classification schemes are founded on the empirical knowledge of the group of experts; thus, the experts’ perspectives have influenced the current systems of scientific classification. Those systems archived the current state-of-art in practice, yet the global effect of the accelerating scientific change over time has made the updating of the classifications system on a timely basis vertually impossible. To overcome the aforementioned limitations, we propose an unbiased classification scheme that takes advantage of collective knowledge; Wikipedia, an Internet encyclopedia edited by millions of users, sets a prompt classification in a collective fashion. We construct a Wikipedia network for scientific disciplines and extract the backbone of the network. This structure displays a landscape of science and technology that is based on a collective intelligence and that is more unbiased and adaptable than conventional classifications.

Issue Date
2018-06
Publisher
The Korean Physical Societyoffice@kps.or.kr
Keywords(Author)
Collective Intelligence; Science and Technology Classification; Complex Network; Filtering
DOI
10.3938/NPSM.68.647
Journal Title
New Physics: Sae Mulli
Start Page
647
End Page
654
ISSN
0374-4914
Language
English
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