A methodological approach for ontology-based meta-modelling

Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023)

Themenheft

DOI der Originalpublikation

URI

https://irf.fhnw.ch/handle/11654/48430
https://doi.org/10.26041/fhnw-11145

Link

https://ceur-ws.org/Vol-3514/short78.pdf

Reihe / Serie

Reihennummer

Jahrgang / Band

Ausgabe / Nummer

Seiten / Dauer

55-64

Patentnummer

Verlag / Herausgebende Institution

Sun SITE, Informatik V, RWTH Aachen

Verlagsort / Veranstaltungsort

Aachen

Auflage

Version

Programmiersprache

Abtretungsempfänger:in

Praxispartner:in/Auftraggeber:in

Zusammenfassung

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.

Schlagwörter

Fachgebiet (DDC)

330 - Wirtschaft

Projekt

Veranstaltung

BIR Conference 2023

Startdatum der Ausstellung

Enddatum der Ausstellung

Startdatum der Konferenz

Enddatum der Konferenz

Datum der letzten Prüfung

ISBN

ISSN

Sprache

Englisch

Während FHNW Zugehörigkeit erstellt

Ja

Zukunftsfelder FHNW

Publikationsstatus

Veröffentlicht

Begutachtung

Peer-Review der ganzen Publikation

Open Access-Status

Diamond

Lizenz

Zitation

Laurenzi, E. (2023). A methodological approach for ontology-based meta-modelling. In A. Morichetta, R. A. Buchmann, K. Sandkuhl, U. Seigerroth, M. Kirikova, C. Møller, P. Forbrig, A. Gutschmidt, A.-M. Ghiran, A. Marcelletti, F. Härer, B. Re, & B. Johansson (Eds.), Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023) (pp. 55–64). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-11145

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