English

Build up of a subject classification system from collective intelligence

Physics and Society 2018-07-03 v2 Digital Libraries

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.

Keywords

Cite

@article{arxiv.1804.00026,
  title  = {Build up of a subject classification system from collective intelligence},
  author = {Jisung Yoon and Jinhyuk Yun and Woo-Sung Jung},
  journal= {arXiv preprint arXiv:1804.00026},
  year   = {2018}
}

Comments

14 pages, 8 figures

R2 v1 2026-06-23T01:10:06.687Z