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Classification and Automatic Concept Map Creation in eLearning Environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU76678" target="_blank" >RIV/00216305:26230/08:PU76678 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification and Automatic Concept Map Creation in eLearning Environment

  • Original language description

    The paper presents an approach to the classification of textual documents in a collaborative eLearning environment, as it is being applied in the context of the Knowledge Practices Laboratory (KP-Lab) project and further elaborated within the PoZnaT project. Classification and consequent semi-automatic annotation of learning materials as well as automatic concept map creation by means of text mining techniques and NLP methods enable users to organise and share the knowledge in a distributed learning system. Design principles and required functionality of the text mining services are discussed in the paper. The Mining Engine Console is presented as a tool for maintenance and administration of the classification and concept map creation processes. Finally, some initial examples of the classification on a real data and evaluation of the classification tool are described in this paper.

  • Czech name

    Classification and Automatic Concept Map Creation in eLearning Environment

  • Czech description

    Příspěvek se zabývá webovými službami zaměřenými na klasifikaci textů a automatické vytváření pojmových map v kontextu technologické podpory výuky.<br>

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Znalosti 2008

  • ISBN

    978-80-227-2827-0

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

  • Publisher name

    Slovak University of Technology in Bratislava

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    Feb 13, 2008

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article