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Search for Appropriate Textual Information Sources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10243846" target="_blank" >RIV/61989100:27240/20:10243846 - isvavai.cz</a>

  • Alternative codes found

    RIV/47813059:19240/20:A0000883

  • Result on the web

    <a href="https://ebooks.iospress.nl/doi/10.3233/FAIA200832" target="_blank" >https://ebooks.iospress.nl/doi/10.3233/FAIA200832</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/FAIA200832" target="_blank" >10.3233/FAIA200832</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Search for Appropriate Textual Information Sources

  • Original language description

    In this paper, we deal with the support in the search for appropriate textual sources. Users ask for an atomic concept that is explicated using machine learning methods applied to different textual sources. Next, we deal with the so-obtained explications to provide even more useful information. To this end, we apply the method of computing association rules. The method is one of the data-mining methods used for information retrieval. Our background theory is the system of Transparent Intensional Logic (TIL); all the concepts are formalised as TIL constructions.

  • 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)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Frontiers in Artificial Intelligence and Applications. Volume 333

  • ISBN

    978-1-64368-140-5

  • ISSN

    0922-6389

  • e-ISSN

  • Number of pages

    20

  • Pages from-to

    227-246

  • Publisher name

    IOS Press

  • Place of publication

    Amsterdam

  • Event location

    Hamburk

  • Event date

    Jun 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article