Cluster analysis of scientific citation context

Tetsuya Nakatoh, Kenta Nagatani, Kumiko Kanekawa, Takahiro Suzuki, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Investigation of related research is a very important task for researchers. In recent years, databases of academic papers have been developed, and researchers can search for related research using keywords and so on. However, it is a very time-consuming task to discover appropriate papers exhaustively from a large number of academic papers, classify them, and understand their contents. We have been researching methods that can properly extract papers of related research from an academic paper database. After finding those papers, researchers need to understand the relationship between those papers. We believe that there are several types of relations between papers that appear in citation expressions of related papers. In this paper, automatic classification of citation expressions is performed as the first step in the analysis of citation expressions, and the analysis results of each cluster are reported.

    Original languageEnglish
    Title of host publication19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 - Proceedings
    EditorsGabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil, Maria Indrawan-Santiago, Ivan Luiz Salvadori
    PublisherAssociation for Computing Machinery
    Pages111-115
    Number of pages5
    ISBN (Electronic)9781450352994
    DOIs
    Publication statusPublished - Dec 4 2017
    Event19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017 - Salzburg, Austria
    Duration: Dec 4 2017Dec 6 2017

    Publication series

    NameACM International Conference Proceeding Series

    Other

    Other19th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2017
    CountryAustria
    CitySalzburg
    Period12/4/1712/6/17

    All Science Journal Classification (ASJC) codes

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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