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Community Intelligence in Knowledge Curation: An Application to Managing Scientific Nomenclature

Overview of attention for article published in PLOS ONE, February 2013
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Title
Community Intelligence in Knowledge Curation: An Application to Managing Scientific Nomenclature
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056961
Pubmed ID
Authors

Lin Dai, Chao Xu, Ming Tian, Jian Sang, Dong Zou, Ang Li, Guocheng Liu, Fei Chen, Jiayan Wu, Jingfa Xiao, Xumin Wang, Jun Yu, Zhang Zhang

Abstract

Harnessing community intelligence in knowledge curation bears significant promise in dealing with communication and education in the flood of scientific knowledge. As knowledge is accumulated at ever-faster rates, scientific nomenclature, a particular kind of knowledge, is concurrently generated in all kinds of fields. Since nomenclature is a system of terms used to name things in a particular discipline, accurate translation of scientific nomenclature in different languages is of critical importance, not only for communications and collaborations with English-speaking people, but also for knowledge dissemination among people in the non-English-speaking world, particularly young students and researchers. However, it lacks of accuracy and standardization when translating scientific nomenclature from English to other languages, especially for those languages that do not belong to the same language family as English. To address this issue, here we propose for the first time the application of community intelligence in scientific nomenclature management, namely, harnessing collective intelligence for translation of scientific nomenclature from English to other languages. As community intelligence applied to knowledge curation is primarily aided by wiki and Chinese is the native language for about one-fifth of the world's population, we put the proposed application into practice, by developing a wiki-based English-to-Chinese Scientific Nomenclature Dictionary (ESND; http://esnd.big.ac.cn). ESND is a wiki-based, publicly editable and open-content platform, exploiting the whole power of the scientific community in collectively and collaboratively managing scientific nomenclature. Based on community curation, ESND is capable of achieving accurate, standard, and comprehensive scientific nomenclature, demonstrating a valuable application of community intelligence in knowledge curation.

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Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Bachelor 3 16%
Student > Ph. D. Student 3 16%
Student > Postgraduate 2 11%
Student > Doctoral Student 2 11%
Other 4 21%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 3 16%
Agricultural and Biological Sciences 3 16%
Arts and Humanities 2 11%
Linguistics 2 11%
Psychology 2 11%
Other 5 26%
Unknown 2 11%