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Enrichment of Academic Search Engine Results Pages by Citation-Based Graphs

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Information Retrieval Technology (AIRS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9460))

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Abstract

Researchers’ readings of academic papers make their research more sophisticated and objective. In this paper, we describe a method of supporting scholarly surveys by incorporating a graph based on citation relationships into the results page of an academic search engine. Conventional academic search engines have a problem in that users have difficulty in determining which academic papers are relevant to their needs because it is hard to understand the relationship between the academic papers that appear in the search results pages. Our method helps users to make judgments about the relevance of papers by clearly visualizing the relationship. It visualizes not only academic papers on the results page but also papers that have a strong citation relationship with them. We carefully considered the method of visualization and implemented a prototype with which we conducted a user study simulating scholarly surveys. We confirmed that our method improved the efficiency of scholarly surveys through the user study.

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Notes

  1. 1.

    http://scholar.google.com/.

  2. 2.

    http://academic.research.microsoft.com/.

  3. 3.

    http://citeseerx.ist.psu.edu/index.

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Acknowledgments

We thank Associate Professor Hidetsugu Nanba at Hiroshima City University for his valuable comments on our research.

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Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Kyoto, 606-8501, Japan

    Shuhei Shogen, Toshiyuki Shimizu & Masatoshi Yoshikawa

Authors
  1. Shuhei Shogen
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  2. Toshiyuki Shimizu
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  3. Masatoshi Yoshikawa
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Corresponding author

Correspondence to Toshiyuki Shimizu .

Editor information

Editors and Affiliations

  1. Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia

    Guido Zuccon

  2. Brisbane, Queensland, Australia

    Shlomo Geva

  3. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  4. RMIT University, Melbourne, Australia

    Falk Scholer

  5. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Aixin Sun

  6. Tianjin University, China

    Peng Zhang

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© 2015 Springer International Publishing Switzerland

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Shogen, S., Shimizu, T., Yoshikawa, M. (2015). Enrichment of Academic Search Engine Results Pages by Citation-Based Graphs. In: Zuccon, G., Geva, S., Joho, H., Scholer, F., Sun, A., Zhang, P. (eds) Information Retrieval Technology. AIRS 2015. Lecture Notes in Computer Science(), vol 9460. Springer, Cham. https://doi.org/10.1007/978-3-319-28940-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-28940-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28939-7

  • Online ISBN: 978-3-319-28940-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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