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Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00342143" target="_blank" >RIV/68407700:21240/20:00342143 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/CBI49978.2020.00036" target="_blank" >https://doi.org/10.1109/CBI49978.2020.00036</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CBI49978.2020.00036" target="_blank" >10.1109/CBI49978.2020.00036</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Case-Study-Based Review of Approaches for Transforming UML Class Diagrams to OWL and Vice Versa

  • Original language description

    Building ontologies in The Web Ontology Language (OWL) as a knowledge representation about a particular domain gained a lot of interest over the recent years. Thanks to its large community and many options concerning tooling and methods for representation and transformations, OWL is being used not only in Linked Open Data and Artificial Intelligence but also in conceptual modelling. OWL allows capturing concepts and their properties, including relationships which can also be done using traditional conceptual models, for example, in Unified Modelling Language (UML). Both UML and OWL have their own specifics when compared to each other, and one may be more suitable than the other in concrete cases. There are several methods for transformation between knowledge representation in OWL and UML. In this paper, we review key methods for transforming UML to OWL and vice versa. To compare the methods, we use a non-trivial conceptual model that contains all commonly used constructs, e.g., generalization sets, composition, or relationships with constraints. The methods are evaluated in terms of information loss during transformation, the need for human intervention, and versatility.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 IEEE 22nd Conference on Business Informatics (CBI)

  • ISBN

    978-1-7281-9926-9

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    270-279

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Anverpy

  • Event date

    Jun 22, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000621582600029