Translated Title
Research on Identification of Emerging Topics Based on Muti-Attribute Measurement of Literature
Translated Abstract
The identification of emerging topics contributes to grasp the research direction of related fields for re-searchers. Regarding for the limitation that it is the main method to identify the emerging topics, making use of the frequency of keywords currently. In this paper, we propose to built the muti-attribute measurement model, which takes advantage of the high degree of concern, high degree of growth potential and high correlation to iden-tify and select the keywords and determine the emerging topics finally. With the example of precise point positioni-ng, we clarify the implementation steps and its feasibility. The result shows that according to the muti-attribute measurement model, the emerging topics of precise point positioning are more clearer as well as strongly direc-ting. Meanwhile, comparing the reality research situation (including real-time precise point positioning, positioning errors and corrections, ambiguity fixing and so on), it has better goodness of fit.
Translated Keyword
mult-attribute measurement
precise point positioning
identify emerging topics
Access Number
WF:perioarticalkxxykxjsgl2015020007
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