JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (11): 26-32.doi: 10.6040/j.issn.1671-9352.1.2015.E14

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Algorithm of knowledge base cumulative citation recommendation based on semantic features expansion

XU Ye, XU Wei-ran   

  1. School of Information and Communication and Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2015-09-18 Online:2016-11-20 Published:2016-11-22

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Abstract: The task of knowledge base cumulative citation recommendation was mainly decomposed into three basic key problems: query expansion based on an entity name in knowledge base, feature extraction for documents and entities.We proposed a method that using the combination of the semantic dictionary(DBpedia)and the word vector(word embedding)for query expansion, and using LDA and ESA algorithms for feature extraction. Finally classify documents based on linear Logistic Regresion combined with unlinear random forest. The F1 value of this system operated on TREC KBA2014 promoted 14.7% compared to the baseline, which indicated that the method raised by the study is good at dealing with question of citation recommendation.

Key words: query expansion, feature extraction, knowledge base, classification

CLC Number: 

  • TP391
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