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Explorations of Cross-Disciplinary Term Similarity

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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

This paper presents some initial explorations into how to compute term similarity across different domains, or in the present case, scientific disciplines. In particular we explore the concepts of polysemy across disciplines, where the same term can have different meaning across different discipline. This can lead to confusion and/or erroneous query expansion, if the domain is not properly identified. Typical bag-of-words systems are not equipped to highlight such differences as terms would have a single representation. Identifying the synonymy of terms across different domains is also a difficult problem for typical bag-of-words systems, as they use surrounding words that will usually also be different across domains. Yet discovering such similarities across domains can support tasks such as literature discovery. We propose an approach that integrates knowledge based distances into a distributional semantics framework and demonstrate its efficiency on a hand-crafted dataset.

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Notes

  1. 1.

    http://www.nlm.nih.gov/research/umls/.

  2. 2.

    http://www.ncbi.nlm.nih.gov/pmc/tools/ftp/#Data_Mining≈Documents.

  3. 3.

    http://dl.acm.org/, https://www.comp.nus.edu.sg/~sugiyama/SchPaperRecData.html.

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Author information

Authors and Affiliations

  1. Queensland University of Technology (QUT), Brisbane, Australia

    Hanif Sheikhadbolkarim & Laurianne Sitbon

Authors
  1. Hanif Sheikhadbolkarim
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  2. Laurianne Sitbon
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Corresponding author

Correspondence to Hanif Sheikhadbolkarim .

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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Sheikhadbolkarim, H., Sitbon, L. (2015). Explorations of Cross-Disciplinary Term Similarity. 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_34

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  • DOI: https://doi.org/10.1007/978-3-319-28940-3_34

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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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