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Transformation of Extended Entity Relationship Model into Ontology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901TEM" target="_blank" >RIV/61988987:17310/18:A1901TEM - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-75420-8_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-75420-8_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-75420-8_24" target="_blank" >10.1007/978-3-319-75420-8_24</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Transformation of Extended Entity Relationship Model into Ontology

  • Original language description

    The paper presents several possibilities of database transformation into ontology and focuses on EER model transformation into the OWL model. Section 2 is devoted to two possible approaches with references to relevant literature, including a description of disadvantages of these approaches. Section 3 brings a set of rules which consider various situations and EER constructs taking into account transformation into OWL. It concerns transformation of entities, strong and weak entity, relationship transformation with various cardinalities, including relationships with attributes. In addition, the paper presents transformation of a composite attribute, either concerning attribute of an entity or relationship. Section 4 focuses on a practical demonstration of several described situations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Intelligent Information and Database Systems

  • ISBN

    978-3-319-75420-8

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    9

  • Pages from-to

    256-264

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Dong Hoi City, Vietnam

  • Event date

    Mar 19, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000453510500024