Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model

Giancarlo Guizzardi; Anna Bernasconi; Oscar Pastor; Veda C. Storey

doi:10.1007/978-3-030-89022-3_28

Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model

Giancarlo Guizzardi^*
, Anna Bernasconi
, Oscar Pastor
, Veda C. Storey

^*Corresponding author for this work

Semantics, Cybersecurity & Services

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

15 Citations (Scopus)

140 Downloads (Pure)

Abstract

Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the sequencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the Viral Conceptual Model, using OntoUML, to unpack and identify its core components. The analysis illustrates the feasibility of bringing ontological clarity to complex models. The process of revealing the ontological semantics of a data structuring model provides a fundamental type of explanation for symbolic models, including conceptual models.

Original language	English
Title of host publication	Conceptual Modeling - 40th International Conference, ER 2021, Proceedings
Editors	Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann
Publisher	Springer
Pages	356-366
Number of pages	11
ISBN (Electronic)	978-3-030-89022-3
ISBN (Print)	978-3-030-89021-6
DOIs	https://doi.org/10.1007/978-3-030-89022-3_28
Publication status	Published - 16 Oct 2021
Event	40th International Conference on Conceptual Modeling, ER 2021 - Virtually, Virtual, Online, Canada Duration: 18 Oct 2021 → 21 Oct 2021 Conference number: 40 https://www.er2021.org/index.html

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13011 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	40th International Conference on Conceptual Modeling, ER 2021
Abbreviated title	ER 2021
Country/Territory	Canada
City	Virtual, Online
Period	18/10/21 → 21/10/21
Internet address	https://www.er2021.org/index.html

Keywords

2024 OA procedure
Ontological analysis
OntoUML
Viral Conceptual Model (VCM)
Virus genomics
COVID-19

Access to Document

10.1007/978-3-030-89022-3_28

978-3-030-89022-3_28Final published version, 3.36 MBLicence: Taverne

Cite this

Guizzardi, G., Bernasconi, A., Pastor, O., & Storey, V. C. (2021). Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model. In A. Ghose, J. Horkoff, V. E. Silva Souza, J. Parsons, & J. Evermann (Eds.), Conceptual Modeling - 40th International Conference, ER 2021, Proceedings (pp. 356-366). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13011 LNCS). Springer. https://doi.org/10.1007/978-3-030-89022-3_28

Guizzardi, Giancarlo ; Bernasconi, Anna ; Pastor, Oscar et al. / Ontological Unpacking as Explanation : The Case of the Viral Conceptual Model. Conceptual Modeling - 40th International Conference, ER 2021, Proceedings. editor / Aditya Ghose ; Jennifer Horkoff ; Vítor E. Silva Souza ; Jeffrey Parsons ; Joerg Evermann. Springer, 2021. pp. 356-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model",

abstract = "Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the sequencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the Viral Conceptual Model, using OntoUML, to unpack and identify its core components. The analysis illustrates the feasibility of bringing ontological clarity to complex models. The process of revealing the ontological semantics of a data structuring model provides a fundamental type of explanation for symbolic models, including conceptual models.",

keywords = "2024 OA procedure, Ontological analysis, OntoUML, Viral Conceptual Model (VCM), Virus genomics, COVID-19",

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Guizzardi, G, Bernasconi, A, Pastor, O & Storey, VC 2021, Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model. in A Ghose, J Horkoff, VE Silva Souza, J Parsons & J Evermann (eds), Conceptual Modeling - 40th International Conference, ER 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13011 LNCS, Springer, pp. 356-366, 40th International Conference on Conceptual Modeling, ER 2021, Virtual, Online, Canada, 18/10/21. https://doi.org/10.1007/978-3-030-89022-3_28

Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model. / Guizzardi, Giancarlo; Bernasconi, Anna; Pastor, Oscar et al.
Conceptual Modeling - 40th International Conference, ER 2021, Proceedings. ed. / Aditya Ghose; Jennifer Horkoff; Vítor E. Silva Souza; Jeffrey Parsons; Joerg Evermann. Springer, 2021. p. 356-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13011 LNCS).

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

TY - GEN

T1 - Ontological Unpacking as Explanation

T2 - 40th International Conference on Conceptual Modeling, ER 2021

AU - Guizzardi, Giancarlo

AU - Bernasconi, Anna

AU - Pastor, Oscar

AU - Storey, Veda C.

N1 - Conference code: 40

PY - 2021/10/16

Y1 - 2021/10/16

N2 - Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the sequencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the Viral Conceptual Model, using OntoUML, to unpack and identify its core components. The analysis illustrates the feasibility of bringing ontological clarity to complex models. The process of revealing the ontological semantics of a data structuring model provides a fundamental type of explanation for symbolic models, including conceptual models.

AB - Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the sequencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the Viral Conceptual Model, using OntoUML, to unpack and identify its core components. The analysis illustrates the feasibility of bringing ontological clarity to complex models. The process of revealing the ontological semantics of a data structuring model provides a fundamental type of explanation for symbolic models, including conceptual models.

KW - 2024 OA procedure

KW - Ontological analysis

KW - OntoUML

KW - Viral Conceptual Model (VCM)

KW - Virus genomics

KW - COVID-19

UR - https://www.scopus.com/pages/publications/85118126578

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DO - 10.1007/978-3-030-89022-3_28

M3 - Conference contribution

AN - SCOPUS:85118126578

SN - 978-3-030-89021-6

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 356

EP - 366

BT - Conceptual Modeling - 40th International Conference, ER 2021, Proceedings

A2 - Ghose, Aditya

A2 - Horkoff, Jennifer

A2 - Silva Souza, Vítor E.

A2 - Parsons, Jeffrey

A2 - Evermann, Joerg

PB - Springer

Y2 - 18 October 2021 through 21 October 2021

ER -

Guizzardi G, Bernasconi A, Pastor O, Storey VC. Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model. In Ghose A, Horkoff J, Silva Souza VE, Parsons J, Evermann J, editors, Conceptual Modeling - 40th International Conference, ER 2021, Proceedings. Springer. 2021. p. 356-366. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-89022-3_28

Ontological Unpacking as Explanation: The Case of the Viral Conceptual Model

Abstract

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