A methodological approach for ontology-based meta-modelling
Authors
Author (Corporation)
Publication date
2023
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023)
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DOI of the original publication
Series
Series number
Volume
Issue / Number
Pages / Duration
55-64
Patent number
Publisher / Publishing institution
Sun SITE, Informatik V, RWTH Aachen
Place of publication / Event location
Aachen
Edition
Version
Programming language
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Abstract
Ontology-based meta-modelling is a technique for the creation of domain-specific modelling languages (DSMLs) grounded in an ontology. Such languages enable the design of ontology-based models having the advantage of being both human and machine-interpretable. Thus, ontology-based meta-modelling fosters the business-IT alignment in enterprises by establishing a shared layer of semantics with respect to a domain of discourse among human and machine actors. In this paper, a methodological approach for the ontology-based meta-modelling is proposed, to ensure rigor to the produced ontology-based DSML. Specifically, the approach enables the creation of semantic rules that given a required domain-specific adaptation, it propagates the changes to an ontology. A research project sets the motivational context for the creation of an ontology-based DSML as well as provides real-world scenarios for the evaluation of the proposed approach.
Keywords
Subject (DDC)
330 - Wirtschaft
Event
BIR Conference 2023
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Conference end date
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ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
License
Citation
LAURENZI, Emanuele, 2023. A methodological approach for ontology-based meta-modelling. In: Andrea MORICHETTA, Robert Andrei BUCHMANN, Kurt SANDKUHL, Ulf SEIGERROTH, Marite KIRIKOVA, Charles MØLLER, Peter FORBRIG, Anne GUTSCHMIDT, Ana-Maria GHIRAN, Alessandro MARCELLETTI, Felix HÄRER, Barbara RE und Björn JOHANSSON (Hrsg.), Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023). Aachen: Sun SITE, Informatik V, RWTH Aachen. 2023. S. 55–64. Verfügbar unter: https://doi.org/10.26041/fhnw-11145