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
—