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Representing BORM Process Models using OWL and RDF

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00355820" target="_blank" >RIV/68407700:21240/21:00355820 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5220/0010653900003064" target="_blank" >https://doi.org/10.5220/0010653900003064</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0010653900003064" target="_blank" >10.5220/0010653900003064</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Representing BORM Process Models using OWL and RDF

  • Original language description

    Business Object Relationship Modeling (BORM) is a business process analysis method based on communicating finite-state machines and Petri nets. However, because of its tooling support and non-interoperability of formats, it is rather niche. This work proposes a way of representing the knowledge from BORM process models in RDF by creating a BORM ontology. It benefits from previous work done on different conceptual and process modelling languages and their transformations to OWL. The resulting RDF representation brings increased interoperability and enhanced analysis possibilities, e.g., using SPARQL or RDF visualization tools. A part of this work is also a BORM-to-RDF export feature for the OpenPonk modelling platform. The resulting BORM ontology is ready for use in practice and further work.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

  • ISBN

    978-989-758-533-3

  • ISSN

  • e-ISSN

    2184-3228

  • Number of pages

    8

  • Pages from-to

    170-177

  • Publisher name

    SciTePress

  • Place of publication

    Setùbal

  • Event location

    Valletta (online)

  • Event date

    Oct 25, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article