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Knowledge base modeling and design procedure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F12%3A00480623" target="_blank" >RIV/60162694:G43__/12:00480623 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28120/12:43867987

  • 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

    Knowledge base modeling and design procedure

  • Original language description

    The article is based on the defense research project "Knowledge Management of the NEC in the Army of the Czech Republic - MENTAL". The theoretical basis of the project is Topic Maps. The key issue for the project solution is designing and creating a suitable ontology. The implementation environment is technology Tovek Tools and ATOM2. The paper describes the procedure from the selection of an Upper Ontology through the Core Ontology design to the processing of the Domain Ontology. Ontology definitions are stated and their meaning is explained. The paper next explains the ways reusing of an existing taxonomy in an ontology construction, presents the possibilities of using the taxonomy built in the selected domain when creating its domain ontology, explains the difference between taxonomies and ontologies in various contexts, and focuses on the description of the specific domain ontology and the use of the existing taxonomy for its building.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Frontiers in Artificial Intelligence and Applications

  • ISSN

    0922-6389

  • e-ISSN

  • Volume of the periodical

    Volume 237

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    331-343

  • UT code for WoS article

  • EID of the result in the Scopus database