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Testing of Various Approaches for Semiautomatic Parish Records Word Standardization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135584" target="_blank" >RIV/00216305:26230/19:PU135584 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/12047/" target="_blank" >https://www.fit.vut.cz/research/publication/12047/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-15-3412-6_3" target="_blank" >10.1007/978-981-15-3412-6_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing of Various Approaches for Semiautomatic Parish Records Word Standardization

  • Original language description

    This paper deals with the clustering of words from parish records. Clustering is essential for downstream standardization. In the past, mostly in the 17th and beginning of 18th century, the names did not have a standard form, thus for further work, it is essential to create clusters of words that have the same meaning. Besides names, the parish records are in the various languages - Czech, German, Latin, so if we want to have relations between people, occupations, or causes of death in one language, we need to standardize it. The first step of standardization is pre-processing, then we compare words, and the last step is classification into clusters. The most crucial step here is a comparison of words. We have tested various approaches like Levenshtein distance and its modifications, Q-grams, Jaro-Winkler, and phonetic codings like Soundex and Double-Metaphone. All those methods have been with types of words that can appear in parish records first and last names, occupation, village, and relationship between people. From these tests, we have chosen the most suitable ways for the clustering of different types of words.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    JIST: Joint International Semantic Technology Conference

  • ISBN

    978-981-1534-11-9

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    21-33

  • Publisher name

    Springer International Publishing

  • Place of publication

    Hangzhou

  • Event location

    Hangzhou, China

  • Event date

    Nov 25, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000679332100003