JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (07): 23-30.doi: 10.6040/j.issn.1671-9352.3.2014.307

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An information extraction method for scientific literature introduction

ZHU Li-ping1,2, LI Hong-qi1,2, YANG Zhong-guo1,2, LIU Qiang1,2   

  1. 1. Beijing Key Lab of Petroleum Data Mining, China University of Petroleum(Beijing), Beijing 102249, China;
    2. College of Geophysics and Information Engineering, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2014-09-19 Online:2015-07-20 Published:2015-07-31

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Abstract: The introduction of the scientific literature could be classified as three categories: background knowledge, problem analysis and work description based on analyses of write model. Each part of the three categories could be depicted by guide words, sentence structure, clue words and sentence position. These features of sentence were used to construct a rule which could distinguish the type of sentences. A rule bank was generated by features extracted from a mount of scientific article sentences. The information of the tree categories could be extracted by simply matching the three types of rules. A text information extraction experiment was studied in the fields of petroleum exploration and data mining,in which the automatically extracted result was compared to human work. The result shows that all three types of information could be extracted effectively.

Key words: scientific literature, clue words, information extraction, background knowledge

CLC Number: 

  • TP391
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