[1]牛永洁,薛苏琴. 基于PDFBox抽取学术论文信息的实现[J].计算机技术与发展,2014,24(12):61-63.
　NIU Yong-jie,XUE Su-qin. Realization of Extraction of Academic Papers Information Based on PDFBox[J].,2014,24(12):61-63.
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 基于PDFBox抽取学术论文信息的实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年12期
页码:
61-63
栏目:
智能、算法、系统工程
出版日期:
2014-12-10

文章信息/Info

Title:
 Realization of Extraction of Academic Papers Information Based on PDFBox
文章编号:
1673-629X（2014)12-0061-03
作者:
 牛永洁; 薛苏琴
 延安大学 数学与计算机学院
Author(s):
 NIU Yong-jie; XUE Su-qin
关键词:
 ; 数据挖掘; 信息抽取; PDF格式; 学术论文
Keywords:
 ; data mining; information extraction; PDF format; academic papers
分类号:
TP39
文献标志码:
A
摘要:
 为了对学术动态、热点及学术发展趋势进行研究，需要对学术研究论文进行数据挖掘研究。首先需要从海量的学术论文中提取有兴趣的信息。针对目前学术论文大多采用PDF格式的现状，重点研究了PDF文件的格式以及对PDF格式操作的各种技术，采用开源函数库PDFBox对PDF格式的学术论文按照规则进行信息的提取，提取的信息主要包括学术论文的标题、作者、单位、关键词、发表时间、摘要等信息。最后对提取信息的正确率进行了统计，有助于针对学术研究的大数据研究。
Abstract:
 In order to research the academic dynamics,hot topic and academic development trends,need to carry out the data mining re-search for academic research papers. First of all,extract interest information from the massive papers. For the situation that the current aca-demic papers are mostly used PDF format,mainly study the format of PDF files and a variety of technical operations for PDF operations, open-source library PDFBox is used to extract information for the academic papers with PDF format in accordance with the rules,the ex-tracted information is mainly including academic titles,authors,unit,keyword,publication time,abstract and other information. Finally, the correct rate of extraction of information has been statistical,which is helpful for big data for academic research.

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