A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research

Pedro Paulo F. Barcelos; Tiago Prince Sales; Mattia Fumagalli; Claudenir M. Fonseca; Isadora Valle Sousa; Elena Romanenko; Joshua Kritz; Giancarlo Guizzardi

doi:10.1007/978-3-031-17995-2_1

A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research

Pedro Paulo F. Barcelos^*, Tiago Prince Sales, Mattia Fumagalli, Claudenir M. Fonseca, Isadora Valle Sousa, Elena Romanenko, Joshua Kritz, Giancarlo Guizzardi

^*Corresponding author for this work

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

17 Citations (Scopus)

208 Downloads (Pure)

Abstract

Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language’s constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. However, to support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis by machines, these catalogs must be built following generally accepted quality requirements for scientific data management. Especially, all scientific (meta)data—including models—should be created using the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. In this initial release, the catalog includes over a hundred models, developed in a variety of contexts and domains. The paper also discusses the research implications for (ontology-driven) conceptual modeling of such a resource.

Original language	English
Title of host publication	Conceptual Modeling
Subtitle of host publication	41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings
Editors	Jolita Ralyté, Sharma Chakravarthy, Mukesh Mohania, Manfred A. Jeusfeld, Kamalakar Karlapalem
Place of Publication	Cham
Publisher	Springer Nature
Pages	3-17
Number of pages	15
ISBN (Electronic)	978-3-031-17995-2
ISBN (Print)	978-3-031-17994-5
DOIs	https://doi.org/10.1007/978-3-031-17995-2_1
Publication status	Published - 10 Oct 2022
Event	41st International Conference on Conceptual Modeling, ER 2022 - Virtual Event Duration: 17 Oct 2022 → 20 Oct 2022 Conference number: 41 https://er2022web.github.io/ER2022/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13607
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	41st International Conference on Conceptual Modeling, ER 2022
Abbreviated title	ER 2022
City	Virtual Event
Period	17/10/22 → 20/10/22
Internet address	https://er2022web.github.io/ER2022/

Keywords

Ontology
OntoUML
Data catalog
FAIR
Linked data
n/a OA procedure

Access to Document

10.1007/978-3-031-17995-2_1

ArticleAccepted author version, 592 KB

Cite this

F. Barcelos, P. P., Sales, T. P., Fumagalli, M., Fonseca, C. M., Sousa, I. V., Romanenko, E., Kritz, J., & Guizzardi, G. (2022). A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research. In J. Ralyté, S. Chakravarthy, M. Mohania, M. A. Jeusfeld, & K. Karlapalem (Eds.), Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings (pp. 3-17). (Lecture Notes in Computer Science; Vol. 13607). Springer Nature. https://doi.org/10.1007/978-3-031-17995-2_1

F. Barcelos, Pedro Paulo ; Sales, Tiago Prince ; Fumagalli, Mattia et al. / A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research. Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings. editor / Jolita Ralyté ; Sharma Chakravarthy ; Mukesh Mohania ; Manfred A. Jeusfeld ; Kamalakar Karlapalem. Cham : Springer Nature, 2022. pp. 3-17 (Lecture Notes in Computer Science).

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abstract = "Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language{\textquoteright}s constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. However, to support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis by machines, these catalogs must be built following generally accepted quality requirements for scientific data management. Especially, all scientific (meta)data—including models—should be created using the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. In this initial release, the catalog includes over a hundred models, developed in a variety of contexts and domains. The paper also discusses the research implications for (ontology-driven) conceptual modeling of such a resource.",

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author = "{F. Barcelos}, {Pedro Paulo} and Sales, {Tiago Prince} and Mattia Fumagalli and Fonseca, {Claudenir M.} and Sousa, {Isadora Valle} and Elena Romanenko and Joshua Kritz and Giancarlo Guizzardi",

note = "1. https://purl.org/ontouml-models. 2. Despite being a commercial tool, VP (https://www.visual-paradigm.com/) has a free community version that could be used by our contributors. 3. Downloadable from https://purl.org/ontouml-vp. 4. https://www.w3.org/TR/vocab-dcat-2/. 5. https://www.dublincore.org/specifications/dublin-core/dcmi-terms/. 6. https://www.w3.org/TR/skos-reference/. 7. https://w3id.org/mod/2.0. 8. http://xmlns.com/foaf/0.1. 9. https://www.loc.gov/catdir/cpso/lcco/. 10. https://www.iana.org/assignments/language-subtag-registry/. 11. https://purl.org/ontouml-models/catalog. 12. https://purl.org/ontouml-models/vocabulary. 13. https://purl.org/ontouml-schema. 14. These URIs are generated according to the following template: https://purl.org/ontouml-models/<folder name>.; 41st International Conference on Conceptual Modeling, ER 2022, ER 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

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doi = "10.1007/978-3-031-17995-2_1",

language = "English",

isbn = "978-3-031-17994-5",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "3--17",

editor = "Jolita Ralyt{\'e} and Sharma Chakravarthy and Mukesh Mohania and Jeusfeld, {Manfred A.} and Kamalakar Karlapalem",

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F. Barcelos, PP, Sales, TP, Fumagalli, M, Fonseca, CM, Sousa, IV, Romanenko, E, Kritz, J & Guizzardi, G 2022, A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research. in J Ralyté, S Chakravarthy, M Mohania, MA Jeusfeld & K Karlapalem (eds), Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings. Lecture Notes in Computer Science, vol. 13607, Springer Nature, Cham, pp. 3-17, 41st International Conference on Conceptual Modeling, ER 2022, Virtual Event, 17/10/22. https://doi.org/10.1007/978-3-031-17995-2_1

A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research. / F. Barcelos, Pedro Paulo; Sales, Tiago Prince; Fumagalli, Mattia et al.
Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings. ed. / Jolita Ralyté; Sharma Chakravarthy; Mukesh Mohania; Manfred A. Jeusfeld; Kamalakar Karlapalem. Cham: Springer Nature, 2022. p. 3-17 (Lecture Notes in Computer Science; Vol. 13607).

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

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AU - F. Barcelos, Pedro Paulo

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AU - Fumagalli, Mattia

AU - Fonseca, Claudenir M.

AU - Sousa, Isadora Valle

AU - Romanenko, Elena

AU - Kritz, Joshua

AU - Guizzardi, Giancarlo

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N2 - Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language’s constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. However, to support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis by machines, these catalogs must be built following generally accepted quality requirements for scientific data management. Especially, all scientific (meta)data—including models—should be created using the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. In this initial release, the catalog includes over a hundred models, developed in a variety of contexts and domains. The paper also discusses the research implications for (ontology-driven) conceptual modeling of such a resource.

AB - Conceptual models are artifacts representing conceptualizations of particular domains. Hence, multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language’s constructs, as well as about the patterns and anti-patterns recurrent in the models of that language crosscutting different domains. However, to support domain and language learning, model reuse, knowledge discovery for humans, and reliable automated processing and analysis by machines, these catalogs must be built following generally accepted quality requirements for scientific data management. Especially, all scientific (meta)data—including models—should be created using the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). In this paper, we report on the construction of a FAIR model catalog for Ontology-Driven Conceptual Modeling research, a trending paradigm lying at the intersection of conceptual modeling and ontology engineering in which the Unified Foundational Ontology (UFO) and OntoUML emerged among the most adopted technologies. In this initial release, the catalog includes over a hundred models, developed in a variety of contexts and domains. The paper also discusses the research implications for (ontology-driven) conceptual modeling of such a resource.

KW - Ontology

KW - OntoUML

KW - Data catalog

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KW - Linked data

KW - n/a OA procedure

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F. Barcelos PP, Sales TP, Fumagalli M, Fonseca CM, Sousa IV, Romanenko E et al. A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research. In Ralyté J, Chakravarthy S, Mohania M, Jeusfeld MA, Karlapalem K, editors, Conceptual Modeling: 41st International Conference, ER 2022, Hyderabad, India, October 17-20, 2022, Proceedings. Cham: Springer Nature. 2022. p. 3-17. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-17995-2_1

A FAIR Model Catalog for Ontology-Driven Conceptual Modeling Research

Abstract

Publication series

Conference

Keywords

Access to Document

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