Understanding and Modeling Prevention

Riccardo Baratella; Mattia Fumagalli; Ítalo Oliveira; Giancarlo Guizzardi

doi:10.1007/978-3-031-05760-1_23

Understanding and Modeling Prevention

Riccardo Baratella, Mattia Fumagalli, Ítalo Oliveira^*, Giancarlo Guizzardi

^*Corresponding author for this work

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

10 Citations (Scopus)

1 Downloads (Pure)

Abstract

Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stopping it as it unfolds: vaccines prevent (the unfolding of) diseases; seat belts prevent events causing serious injuries; circuit breaks prevent the manifestation of overcurrents. Many disciplines in the information sciences deal with modeling and reasoning about prevention. Examples include risk and security management as well as medical and legal informatics. Having a proper conceptualization of this phenomenon is crucial for devising proper modeling mechanisms and tools to support these disciplines. Forming such a conceptualization is a matter of Formal Ontology. In fact, prevention and related notions have become a topic of interest in this area. In this paper, with the support of Unified Foundational Ontology (UFO), we conduct an ontological analysis of this and other related notions, namely, the notions of countermeasures and countermeasure mechanisms, including the notion of antidotes. As a result of this conceptual clarification process, we propose an ontology-based reusable module extending UFO and capturing the relations between these elements. Finally, we employ this module to address a few cases in risk management.

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 Nature
Pages	389-405
Number of pages	17
Volume	446
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_23
Publication status	Published - 2022
Externally published	Yes
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

Prevention
Ontology-driven conceptual modeling
n/a OA procedure

Access to Document

10.1007/978-3-031-05760-1_23

Cite this

Baratella, R., Fumagalli, M., Oliveira, Í., & Guizzardi, G. (2022). Understanding and Modeling Prevention. 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 (Vol. 446, pp. 389-405). (Lecture Notes in Business Information Processing; Vol. 446). Springer Nature. https://doi.org/10.1007/978-3-031-05760-1_23

Baratella, Riccardo ; Fumagalli, Mattia ; Oliveira, Ítalo et al. / Understanding and Modeling Prevention. 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. Vol. 446 Springer Nature, 2022. pp. 389-405 (Lecture Notes in Business Information Processing).

@inproceedings{50d193a4183b4de7a9d36a7b41e86607,

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abstract = "Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stopping it as it unfolds: vaccines prevent (the unfolding of) diseases; seat belts prevent events causing serious injuries; circuit breaks prevent the manifestation of overcurrents. Many disciplines in the information sciences deal with modeling and reasoning about prevention. Examples include risk and security management as well as medical and legal informatics. Having a proper conceptualization of this phenomenon is crucial for devising proper modeling mechanisms and tools to support these disciplines. Forming such a conceptualization is a matter of Formal Ontology. In fact, prevention and related notions have become a topic of interest in this area. In this paper, with the support of Unified Foundational Ontology (UFO), we conduct an ontological analysis of this and other related notions, namely, the notions of countermeasures and countermeasure mechanisms, including the notion of antidotes. As a result of this conceptual clarification process, we propose an ontology-based reusable module extending UFO and capturing the relations between these elements. Finally, we employ this module to address a few cases in risk management.",

keywords = "Prevention, Ontology-driven conceptual modeling, n/a OA procedure",

author = "Riccardo Baratella and Mattia Fumagalli and {\'I}talo Oliveira and Giancarlo Guizzardi",

note = "1. It also includes a reference to another semi-saturated type South-Tyrolean City. 2. For this reason, [21, 23] call events polygenic manifestations. 3. According to our model, vulnerabilities, capacities and intentions of a certain type are mutual activation partners!. 4. E.g., https://www.bowtiepro.com/examples/htmlexport/hazardref.htm. 5. A single virus cannot infect anyone; infectibility is a disposition of a virus collective.; 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_23",

language = "English",

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

volume = "446",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Nature",

pages = "389--405",

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

booktitle = "Research Challenges in Information Science",

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Baratella, R, Fumagalli, M, Oliveira, Í & Guizzardi, G 2022, Understanding and Modeling Prevention. 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. vol. 446, Lecture Notes in Business Information Processing, vol. 446, Springer Nature, pp. 389-405, 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_23

Understanding and Modeling Prevention. / Baratella, Riccardo; Fumagalli, Mattia; Oliveira, Ítalo et al.
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. Vol. 446 Springer Nature, 2022. p. 389-405 (Lecture Notes in Business Information Processing; Vol. 446).

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

TY - GEN

T1 - Understanding and Modeling Prevention

AU - Baratella, Riccardo

AU - Fumagalli, Mattia

AU - Oliveira, Ítalo

AU - Guizzardi, Giancarlo

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PY - 2022

Y1 - 2022

N2 - Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stopping it as it unfolds: vaccines prevent (the unfolding of) diseases; seat belts prevent events causing serious injuries; circuit breaks prevent the manifestation of overcurrents. Many disciplines in the information sciences deal with modeling and reasoning about prevention. Examples include risk and security management as well as medical and legal informatics. Having a proper conceptualization of this phenomenon is crucial for devising proper modeling mechanisms and tools to support these disciplines. Forming such a conceptualization is a matter of Formal Ontology. In fact, prevention and related notions have become a topic of interest in this area. In this paper, with the support of Unified Foundational Ontology (UFO), we conduct an ontological analysis of this and other related notions, namely, the notions of countermeasures and countermeasure mechanisms, including the notion of antidotes. As a result of this conceptual clarification process, we propose an ontology-based reusable module extending UFO and capturing the relations between these elements. Finally, we employ this module to address a few cases in risk management.

AB - Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stopping it as it unfolds: vaccines prevent (the unfolding of) diseases; seat belts prevent events causing serious injuries; circuit breaks prevent the manifestation of overcurrents. Many disciplines in the information sciences deal with modeling and reasoning about prevention. Examples include risk and security management as well as medical and legal informatics. Having a proper conceptualization of this phenomenon is crucial for devising proper modeling mechanisms and tools to support these disciplines. Forming such a conceptualization is a matter of Formal Ontology. In fact, prevention and related notions have become a topic of interest in this area. In this paper, with the support of Unified Foundational Ontology (UFO), we conduct an ontological analysis of this and other related notions, namely, the notions of countermeasures and countermeasure mechanisms, including the notion of antidotes. As a result of this conceptual clarification process, we propose an ontology-based reusable module extending UFO and capturing the relations between these elements. Finally, we employ this module to address a few cases in risk management.

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KW - Ontology-driven conceptual modeling

KW - n/a OA procedure

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DO - 10.1007/978-3-031-05760-1_23

M3 - Conference contribution

SN - 978-3-031-05759-5

VL - 446

T3 - Lecture Notes in Business Information Processing

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EP - 405

BT - Research Challenges in Information Science

A2 - Guizzardi, Renata S. S.

A2 - Ralyté, Jolita

A2 - Franch, Xavier

PB - Springer Nature

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

Y2 - 17 May 2022 through 20 May 2022

ER -

Baratella R, Fumagalli M, Oliveira Í , Guizzardi G. Understanding and Modeling Prevention. 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. Vol. 446. Springer Nature. 2022. p. 389-405. (Lecture Notes in Business Information Processing). Epub 2022 May 14. doi: 10.1007/978-3-031-05760-1_23

Understanding and Modeling Prevention

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