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Literature retrieval based on citation context

Author

Listed:
  • Shengbo Liu

    (Dalian University of Technology)

  • Chaomei Chen

    (Drexel University)

  • Kun Ding

    (Dalian University of Technology)

  • Bo Wang

    (Dalian University of Technology)

  • Kan Xu

    (Dalian University of Technology)

  • Yuan Lin

    (Dalian University of Technology)

Abstract

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.

Suggested Citation

  • Shengbo Liu & Chaomei Chen & Kun Ding & Bo Wang & Kan Xu & Yuan Lin, 2014. "Literature retrieval based on citation context," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1293-1307, November.
    • Handle: RePEc:spr:scient:v:101:y:2014:i:2:d:10.1007_s11192-014-1233-7
    DOI: 10.1007/s11192-014-1233-7
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    References listed on IDEAS

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    1. Shengbo Liu & Chaomei Chen, 2012. "The proximity of co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 495-511, May.
    2. Alison Callahan & Stephen Hockema & Gunther Eysenbach, 2010. "Contextual cocitation: Augmenting cocitation analysis and its applications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(6), pages 1130-1143, June.
    3. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Henry Small, 2011. "Interpreting maps of science using citation context sentiments: a preliminary investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 373-388, May.
    6. Aaron Elkiss & Siwei Shen & Anthony Fader & Güneş Erkan & David States & Dragomir Radev, 2008. "Blind men and elephants: What do citation summaries tell us about a research article?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 51-62, January.
    7. Alison Callahan & Stephen Hockema & Gunther Eysenbach, 2010. "Contextual cocitation: Augmenting cocitation analysis and its applications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(6), pages 1130-1143, June.
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    Citations

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    Cited by:

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    2. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
    3. Muhammad Touseef Ikram & Muhammad Tanvir Afzal, 2019. "Aspect based citation sentiment analysis using linguistic patterns for better comprehension of scientific knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 73-95, April.
    4. Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
    5. Maryam Yaghtin & Hajar Sotudeh & Mahdieh Mirzabeigi & Seyed Mostafa Fakhrahmad & Mehdi Mohammadi, 2019. "In quest of new document relations: evaluating co-opinion relations between co-citations and its impact on Information retrieval effectiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 987-1008, May.
    6. Marc Bertin & Iana Atanassova & Cassidy R. Sugimoto & Vincent Lariviere, 2016. "The linguistic patterns and rhetorical structure of citation context: an approach using n-grams," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1417-1434, December.
    7. Liu, Xiaojuan & Wang, Chenlin & Chen, Dar-Zen & Huang, Mu-Hsuan, 2022. "Exploring perception of retraction based on mentioned status in post-retraction citations," Journal of Informetrics, Elsevier, vol. 16(3).
    8. Rey-Long Liu, 2015. "Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    9. Similo Ngwenya & Nelius Boshoff, 2022. "Different manifestations of ‘context’: examples from a bibliometric study of research in Zimbabwe in Southern Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3911-3933, July.
    10. Zehra Taşkın & Umut Al, 2018. "A content-based citation analysis study based on text categorization," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 335-357, January.
    11. Naveed Naeem Abbas & Tanveer Ahmed & Syed Habib Ullah Shah & Muhammad Omar & Han Woo Park, 2019. "Investigating the applications of artificial intelligence in cyber security," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1189-1211, November.

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