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A Comparison of Text String Similarity Algorithms for POI Name Harmonisation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F18%3A39913503" target="_blank" >RIV/00216275:25530/18:39913503 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-319-94544-6_12" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-94544-6_12</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Comparison of Text String Similarity Algorithms for POI Name Harmonisation

  • Original language description

    The article deals with the analysis of harmonisation options of key data from points of interest across different geosocial networks. Data harmonization is realised in the paper by using the five most effective algorithms which compare similarity of text strings. The main aim of this article is to identify the most appropriate algorithm for harmonizing different names of de facto identical points of interest within different geosocial networks. The comparison includes results of the following algorithms: Jaro-Winkler similarity, Levenshtein similarity, Damerau-Levenshtein similarity, Jaccard similarity coefficient and Cosine similarity.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Articulated Motion and Deformable Objects, AMDO 2018 : conference proceedings

  • ISBN

    978-3-319-94543-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    121-130

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Palma de Malorca

  • Event date

    Jul 12, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article