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The Contextual Search Method Based on Domain Thesaurus

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Advances in Intelligent Systems and Computing II (CSIT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 689))

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Abstract

The growth of volume of text resources on Internet and natural limitations of human cognition justifies the development of search enhancement systems. This paper proposes a contextual search method based on domain thesaurus. The method uses semantic metrics defined on thesaurus and weighted conceptual graph model for search enhancement. As an example a task of searching for partners working in similar research area is analyzed. The effectiveness of proposed method when evaluated using precision metric was better compared to Jaccard’s and WUP methods.

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Author information

Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Vasyl Lytvyn, Victoria Vysotska, Yevhen Burov, Oleh Veres & Ihor Rishnyak

Authors
  1. Vasyl Lytvyn
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  2. Victoria Vysotska
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  3. Yevhen Burov
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  4. Oleh Veres
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  5. Ihor Rishnyak
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Corresponding authors

Correspondence to Vasyl Lytvyn , Victoria Vysotska or Yevhen Burov .

Editor information

Editors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Natalia Shakhovska

  2. IRTC ITS NASU, Kiev, Ukraine

    Volodymyr Stepashko

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Lytvyn, V., Vysotska, V., Burov, Y., Veres, O., Rishnyak, I. (2018). The Contextual Search Method Based on Domain Thesaurus. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_22

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  • DOI: https://doi.org/10.1007/978-3-319-70581-1_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70580-4

  • Online ISBN: 978-3-319-70581-1

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