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COMPARATIVE ANALYSIS OF QUANTITATIVE INDICATORS OF NORMAL AND KNOWLEDGE TEXTS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F14%3A64860" target="_blank" >RIV/60460709:41110/14:64860 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    COMPARATIVE ANALYSIS OF QUANTITATIVE INDICATORS OF NORMAL AND KNOWLEDGE TEXTS

  • Original language description

    Content analysis, measuring the information density of texts as well as determination of other various indicators and parameters of texts are the standard techniques applied as a part of text mining, textbook analysis and several other issues. However, all indicators and parameters are designed for the level of information, not knowledge. Our aim is to design an original one for knowledge. Before that, we have to determine, which ones could be used as the base of new indicators, because they are directly connected to explicit knowledge codified in the text. The objective of this paper is to make a comparative analysis of quantitative indicators of two types of text documents. The first one is a standard piece of a text document (normal text), the otherone is the document created by the use of the particular representation of knowledge: knowledge unit. Even though no representative sample of the documents is used, the comparative analysis confirms most assumptions of significantly diff

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AM - Pedagogy and education

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    10th International Scientific Conference on Distance Learning in Applied Informatics

  • ISBN

    978-80-7478-497-2

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    621-631

  • Publisher name

    Wolters Kluwer

  • Place of publication

    Prague

  • Event location

    Štúrovo, Slovakia

  • Event date

    May 5, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article