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Automation of Day-to-Day Operational Processes of a Knowledge Engineer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F13%3A00498202" target="_blank" >RIV/60162694:G43__/13:00498202 - isvavai.cz</a>

  • Result on the web

    <a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automation of Day-to-Day Operational Processes of a Knowledge Engineer

  • Original language description

    To hold a knowledge base up-to-date requires quite substantive endeavor of the knowledge engineers. The aim of the tools presented in the paper is to help the knowledge engineer with his tedious work. The first tool a2doc generates human readable documentation of an existing knowledge base. The second tool, the more complex one, creates the pieces of information from the text base and the appropriate ontology. The generated items can be then imported into the knowledge base. Both tools save time of theknowledge engineers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    KA - Militarism

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Cybernetic Letters

  • ISSN

    1802-3525

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    11/2013

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    4

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database