Literature retrieval based on citation context

Shengbo Liu, Chaomei Chen, Kun Ding, Bo Wang, Kan Xu, Yuan Lin

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


While the citation context of a reference may provide detailed and direct information about the nature of a citation, few studies have specifically addressed the role of this information in retrieving relevant documents from the literature primarily due to the lack of full text databases. In this paper, we design a retrieval system based on full texts in the PubMed Central database. We constructed two modules in the retrieval system. One is a reference retrieval module based on citation contexts. Another is a citation context retrieval module for searching the citation contexts of a specific paper. The results of comparisons show that the reference retrieval module performed better than Google Scholar and PubMed database in terms of finding proper references based on topic words extracted from citation context. It also performed very well on searching highly cited papers and classic papers. The citation context retrieval module visualizes the topics of citation contexts as tag clouds and classifies citation contexts based on cue words in citation contexts.

Original languageEnglish
Pages (from-to)1293-1307
Number of pages15
Issue number2
Publication statusPublished - 2014 Oct 9

Bibliographical note

Publisher Copyright:
© 2014, Akadémiai Kiadó, Budapest, Hungary.

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences


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