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

Elena Romanenko; Diego Calvanese; Giancarlo Guizzardi

doi:10.1007/978-3-031-05760-1_22

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

Elena Romanenko^*
, Diego Calvanese
, Giancarlo Guizzardi

^*Corresponding author for this work

Semantics, Cybersecurity & Services

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

136 Downloads (Pure)

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.

Original language	English
Title of host publication	Research Challenges in Information Science
Subtitle of host publication	16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings
Editors	Renata S. S. Guizzardi, Jolita Ralyté, Xavier Franch
Publisher	Springer
Pages	372-388
Number of pages	17
ISBN (Electronic)	978-3-031-05760-1
ISBN (Print)	978-3-031-05759-5
DOIs	https://doi.org/10.1007/978-3-031-05760-1_22
Publication status	Published - 2022
Event	16th International Conference on Research Challenges in Information Science, RCIS 2022 - Barcelona, Spain Duration: 17 May 2022 → 20 May 2022 Conference number: 16

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	446
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	16th International Conference on Research Challenges in Information Science, RCIS 2022
Abbreviated title	RCIS 2022
Country/Territory	Spain
City	Barcelona
Period	17/05/22 → 20/05/22

Keywords

Conceptual model abstraction
Complexity management of conceptual models
OntoUML

Access to Document

10.1007/978-3-031-05760-1_22

ArticleAccepted author version, 1.58 MB

Cite this

Romanenko, E., Calvanese, D., & Guizzardi, G. (2022). Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts. In R. S. S. Guizzardi, J. Ralyté, & X. Franch (Eds.), Research Challenges in Information Science : 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings (pp. 372-388). (Lecture Notes in Business Information Processing; Vol. 446). Springer. https://doi.org/10.1007/978-3-031-05760-1_22

Romanenko, Elena ; Calvanese, Diego ; Guizzardi, Giancarlo. / Abstracting Ontology-Driven Conceptual Models : Objects, Aspects, Events, and Their Parts. Research Challenges in Information Science : 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings. editor / Renata S. S. Guizzardi ; Jolita Ralyté ; Xavier Franch. Springer, 2022. pp. 372-388 (Lecture Notes in Business Information Processing).

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

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.",

keywords = "Conceptual model abstraction, Complexity management of conceptual models, OntoUML",

author = "Elena Romanenko and Diego Calvanese and Giancarlo Guizzardi",

note = "1. A formal definition of these stereotyped relations is given in [7] and in [2] for those relations that include Events. 2. 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. 3. Hereinafter, the default cardinality constraints {\textquoteleft}∗ {\textquoteright} and {\textquoteleft}0..∗ {\textquoteright} are not shown in the models, as well as {\textquoteleft}1{\textquoteright} 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. 4. This is called the Principle of Event Expansion [17]. 5. For details, why this is the case, see Table 1 in [7]. 6. For the definition of essential and inseparable parthood, we refer to [9]. 7. 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. 8. https://github.com/unibz-core/ontouml-models.; 16th International Conference on Research Challenges in Information Science, RCIS 2022, RCIS 2022 ; Conference date: 17-05-2022 Through 20-05-2022",

year = "2022",

doi = "10.1007/978-3-031-05760-1\_22",

language = "English",

isbn = "978-3-031-05759-5",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer",

pages = "372--388",

editor = "Guizzardi, \{Renata S. S.\} and Jolita Ralyt{\'e} and Xavier Franch",

booktitle = "Research Challenges in Information Science",

address = "Germany",

}

Romanenko, E, Calvanese, D & Guizzardi, G 2022, Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts. in RSS Guizzardi, J Ralyté & X Franch (eds), Research Challenges in Information Science : 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings. Lecture Notes in Business Information Processing, vol. 446, Springer, pp. 372-388, 16th International Conference on Research Challenges in Information Science, RCIS 2022, Barcelona, Spain, 17/05/22. https://doi.org/10.1007/978-3-031-05760-1_22

Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts. / Romanenko, Elena; Calvanese, Diego; Guizzardi, Giancarlo.
Research Challenges in Information Science : 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings. ed. / Renata S. S. Guizzardi; Jolita Ralyté; Xavier Franch. Springer, 2022. p. 372-388 (Lecture Notes in Business Information Processing; Vol. 446).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Abstracting Ontology-Driven Conceptual Models

T2 - 16th International Conference on Research Challenges in Information Science, RCIS 2022

AU - Romanenko, Elena

AU - Calvanese, Diego

AU - Guizzardi, Giancarlo

N1 - Conference code: 16

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N2 - 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.

AB - 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.

KW - Conceptual model abstraction

KW - Complexity management of conceptual models

KW - OntoUML

U2 - 10.1007/978-3-031-05760-1_22

DO - 10.1007/978-3-031-05760-1_22

M3 - Conference contribution

SN - 978-3-031-05759-5

T3 - Lecture Notes in Business Information Processing

SP - 372

EP - 388

BT - Research Challenges in Information Science

A2 - Guizzardi, Renata S. S.

A2 - Ralyté, Jolita

A2 - Franch, Xavier

PB - Springer

Y2 - 17 May 2022 through 20 May 2022

ER -

Romanenko E, Calvanese D, Guizzardi G. Abstracting Ontology-Driven Conceptual Models: Objects, Aspects, Events, and Their Parts. In Guizzardi RSS, Ralyté J, Franch X, editors, Research Challenges in Information Science : 16th International Conference, RCIS 2022, Barcelona, Spain, May 17-20, 2022, Proceedings. Springer. 2022. p. 372-388. (Lecture Notes in Business Information Processing). Epub 2022 May 14. doi: 10.1007/978-3-031-05760-1_22

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

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