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An Automatic Classification System of Mass Online Academic Literatures
Received date: 2013-06-18
Revised date: 2013-07-30
Online published: 2013-08-20
With the development of the Internet, the amount of online academic literatures has been increasing exponentially, and it is difficult for science researchers to harness the power of the literature. It is necessary to develop a method for automatic acquiring, processing and classifying the literatures. This paper designs and implements an automatic classification system for massive online academic literatures based on the experimental researches done before. This system is a modular design which consists of four models of automatic fetching, term-document matrix processing, ontology integrating and semantics-driven classifying. This is proven that it can automatically accomplish the acquiring, processing and classifying online academic literatures.
Wang Xiaoyue , Bai Rujiang , Wang Xiaodi , Zhu Na . An Automatic Classification System of Mass Online Academic Literatures[J]. Library and Information Service, 2013 , 57(16) : 117 -122 . DOI: 10.7536/j.issn.0252-3116.2013.16.022
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