2010Xi'an Tiyu Xueyuan xuebaoRequires access

Scientific knowledge Map and its Application in Sports Science Research

Wang Qi

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Abstract

In the new century,scientific knowledge mapping and knowledge visualization get developed rapidly,which has become a mainstream area of scientific metrology.To Comment on Professor Liu Zeyuan's,who is scientometrics and knowledge visualization expert,scientific knowledge map,and talk about the application prospects of the map of scientific knowledge in sports science research,and through specific cases of scientific knowledge mapping of sport science,provide the readers with visually demonstrates the effective access to knowledge,discovery of new methods and means of knowledge.

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What this paper is about

In the new century,scientific knowledge mapping and knowledge visualization get developed rapidly,which has become a mainstream area of scientific metrology.To Comment on Professor Liu Zeyuan's,who is scientometrics and knowledge visualization expert,scientific knowledge map,and talk about the application prospects of the map of scientific knowledge in sports science research,and through specific cases of scientific knowledge mapping of sport science,provide the readers with visually demonstrates the effective access to knowledge,discovery of new methods and means of knowledge.

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Available abstract

In the new century,scientific knowledge mapping and knowledge visualization get developed rapidly,which has become a mainstream area of scientific metrology.To Comment on Professor Liu Zeyuan's,who is scientometrics and knowledge visualization expert,scientific knowledge map,and talk about the application prospects of the map of scientific knowledge in sports science research,and through specific cases of scientific knowledge mapping of sport science,provide the readers with visually demonstrates the effective access to knowledge,discovery of new methods and means of knowledge.

Key concepts: Scientometrics, Sociology of scientific knowledge, Visualization, Mainstream, Scientific visualization, Data science, Scientific discovery, Knowledge extraction

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