nach oben

Erschienen in:

2022 | OriginalPaper | Buchkapitel

Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts

verfasst von : Elena Romanenko, Diego Calvanese, Giancarlo Guizzardi

Erschienen in: Research Challenges in Information Science

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Ontology-driven conceptual models are widely used to capture information about complex and critical domains. Therefore, it is essential for these models to be comprehensible and cognitively tractable. Over the years, different techniques for complexity management in conceptual models have been suggested. Among these, a prominent strategy is model abstraction. This work extends an existing strategy for model abstraction of OntoUML models that proposes a set of graph-rewriting rules leveraging on the ontological semantics of that language. That original work, however, only addresses a set of the ontological notions covered in that language. We review and extend that rule set to cover more generally types of objects, aspects, events, and their parts.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Ontological Foundations for Trust Dynamics: The Case of Central Bank Digital Currency Ecosystems

Nächstes Kapitel Understanding and Modeling Prevention

A formal definition of these stereotyped relations is given in [7] and in [2] for those relations that include Events.

Unfortunately, incidents like this from time to time happen in real life, e.g., https://www.webmd.com/heart-disease/news/20210614/danish-soccer-player-suffered-cardiac-arrest-during-euro-match.

Hereinafter, the default cardinality constraints ‘\(*\)’ and ‘\(0..*\)’ are not shown in the models, as well as ‘1’ on the side of diamonds in parthood relations. For visual economy, when we have more than one part type connected to the same whole type, we join these different parthood relations in the same diamond-head (on the end connected to the whole). Parthood, nonetheless, is still defined as a binary relation.

This is called the Principle of Event Expansion [17].

For details, why this is the case, see Table 1 in [7].

For the definition of essential and inseparable parthood, we refer to [9].

The interested reader can refer to the current version of the Visual Paradigm plugin with supported abstraction functionality on https://github.com/mozzherina/ontouml-vp-plugin.git, and the corresponding server on https://github.com/mozzherina/ontouml-server.git.

https://github.com/unibz-core/ontouml-models.

Akoka, J., Comyn-Wattiau, I.: Entity-relationship and object-oriented model automatic clustering. Data Knowl. Eng. 20(2), 87–117 (1996). https://doi.org/10.1016/S0169-023X(96)00007-9CrossRef

Benevides, A., Bourguet, J.R., Guizzardi, G., Peñaloza, R., Almeida, J.: Representing a reference foundational ontology of events in SROIQ. Appl. Ontol. 14, 1–42 (2019). https://doi.org/10.3233/AO-190214CrossRef

Cook, S., et al.: Unified modeling language (UML) version 2.5.1. Standard, Object Management Group (OMG) (2017). https://www.omg.org/spec/UML/2.5.1

Cotnoir, A.J., Varzi, A.C.: Mereology. Oxford Scholarship Online, 1 edn. Oxford University Press, Oxford (2021). https://doi.org/10.1093/oso/9780198749004.001.0001

Egyed, A.: Automated abstraction of class diagrams. ACM Trans. Softw. Eng. Methodol. 11(4), 449–491 (2002). https://doi.org/10.1145/606612.606616CrossRef

Figueiredo, G., Duchardt, A., Hedblom, M.M., Guizzardi, G.: Breaking into pieces: an ontological approach to conceptual model complexity management. In: Proceedings of the 12th International Conference on Research Challenges in Information Science (RCIS), pp. 1–10 (2018). https://doi.org/10.1109/RCIS.2018.8406642

Fonseca, C.M., Porello, D., Guizzardi, G., Almeida, J.P.A., Guarino, N.: Relations in ontology-driven conceptual modeling. In: Laender, A.H.F., Pernici, B., Lim, E.-P., de Oliveira, J.P.M. (eds.) ER 2019. LNCS, vol. 11788, pp. 28–42. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33223-5_4CrossRef

Guarino, N., Guizzardi, G.: “We need to discuss the Relationship’’: revisiting relationships as modeling constructs. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 279–294. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19069-3_18CrossRef

Guizzardi, G.: Ontological foundations for structural conceptual models. CITIT PhD.-thesis series 05–74 Telematica Instituut fundamental research series 015, Centre for Telematics and Information Technology, Enschede (2005)

10.

Guizzardi, G.: The problem of transitivity of part-whole relations in conceptual modeling revisited. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 94–109. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02144-2_12CrossRef

11.

Guizzardi, G., Benevides, A.B., Fonseca, C.M., Porello, D., Almeida, J.P.A., Sales, T.P.: UFO: unified foundational ontology. Appl. Ontol. 17(1), 1–44 (2021). https://doi.org/10.3233/AO-210256CrossRef

12.

Guizzardi, G., Figueiredo, G., Hedblom, M.M., Poels, G.: Ontology-based model abstraction. In: Proceedings of the 13th International Conference on Research Challenges in Information Science (RCIS), pp. 1–13. IEEE (2019). https://doi.org/10.1109/RCIS.2019.8876971

13.

Guizzardi, G., Fonseca, C.M., Almeida, J.P.A., Sales, T.P., Benevides, A.B., Porello, D.: Types and taxonomic structures in conceptual modeling: a novel ontological theory and engineering support. Data Knowl. Eng. 134, 101891 (2021). https://doi.org/10.1016/j.datak.2021.101891

14.

Guizzardi, G., Sales, T.P., Almeida, J.P.A., Poels, G.: Automated conceptual model clustering: a relator-centric approach. In: Software and Systems Modeling, pp. 1–25 (2021)

15.

Huang, W., Luo, J., Bednarz, T., Duh, H.: Making graph visualization a user-centered process. J. Visual Lang. Comput. 48, 1–8 (2018). https://doi.org/10.1016/j.jvlc.2018.07.001CrossRef

16.

Kondylakis, H., Kotzinos, D., Manolescu, I.: RDF graph summarization: principles, techniques and applications. In: Proceedings of the 22nd International Conference on Extending Database Technology (EDBT), pp. 433–436 (2019). https://doi.org/10.5441/002/edbt.2019.38

17.

Lombard, L.B.: Events: A Metaphysical Study. Routledge, Abingdon (2019)

18.

Lozano, J., Carbonera, J., Abel, M., Pimenta, M.: Ontology view extraction: an approach based on ontological meta-properties. In: IEEE 26th International Conference on Tools with Artificial Intelligence, pp. 122–129 (2014). https://doi.org/10.1109/ICTAI.2014.28

19.

Mylopoulos, J.: Conceptual modeling and Telos. In: Conceptual Modelling, Databases and CASE: An Integrated View of Information Systems Development. Wiley (1992)

20.

Pouriyeh, S., et al.: Ontology summarization: graph-based methods and beyond. Int. J. Semant. Comput. 13(2), 259–283 (2019). https://doi.org/10.1142/S1793351X19300012

21.

Verdonck, M., Gailly, F.: Insights on the use and application of ontology and conceptual modeling languages in ontology-driven conceptual modeling. In: Comyn-Wattiau, I., Tanaka, K., Song, I.-Y., Yamamoto, S., Saeki, M. (eds.) ER 2016. LNCS, vol. 9974, pp. 83–97. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46397-1_7

22.

Verdonck, M., Gailly, F., Pergl, R., Guizzardi, G., Souza, B.F.M., Pastor, O.: Comparing traditional conceptual modeling with ontology-driven conceptual modeling: an empirical study. Inf. Syst. 81, 92–103 (2019). https://doi.org/10.1016/j.is.2018.11.009

23.

Villegas Niño, A.: A filtering engine for large conceptual schemas. Ph.D. thesis, Universitat Politècnica de Catalunya (2013)

Titel: Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts
verfasst von: Elena Romanenko
Diego Calvanese
Giancarlo Guizzardi
Verlag: Springer International Publishing
Buch: Research Challenges in Information Science
Print ISBN: 978-3-031-05759-5

Electronic ISBN: 978-3-031-05760-1

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-031-05760-1_22

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner