Multilingual Entity Matching

  • Ilgiz MustafinEmail author
  • Marius-Cristian Frunza
  • JooYoung Lee
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)


The aim of this paper is to explore methods of multilingual entity matching. Name matching is currently the main technique used for entity resolution. When dealing with entities having features recorded in different languages and with different alphabets the basic approaches have serious limitation. The basic name matching approach using string comparison metrics is enriched with phonetic rules and with relational information. The results show that the approach using transliteration enhanced by phonetic matching provides with the best performance.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ilgiz Mustafin
    • 1
    Email author
  • Marius-Cristian Frunza
    • 2
    • 3
  • JooYoung Lee
    • 1
  1. 1.Innopolis UniversityInnopolisRussia
  2. 2.Schwarzthal KapitalNeuilly sur SeineFrance
  3. 3.LABEX ReFiParisFrance

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