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2023 | OriginalPaper | Buchkapitel

What Do Users Think About Abstractions of Ontology-Driven Conceptual Models?

verfasst von : Elena Romanenko, Diego Calvanese, Giancarlo Guizzardi

Erschienen in: Research Challenges in Information Science: Information Science and the Connected World

Verlag: Springer Nature Switzerland

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Abstract

In a previous paper, we proposed an algorithm for ontology-driven conceptual model abstractions [18]. We have implemented and tested this algorithm over a FAIR Catalog of such models represented in the OntoUML language. This provided evidence for the correctness of the algorithm’s implementation, i.e., that it correctly implements the model transformation rules prescribed by the algorithm, and its effectiveness, i.e., it is able to achieve high compression (summarization) rates over these models. However, in addition to these properties, it is fundamental to test the validity of this algorithm, i.e., that it achieves what it is intended to do, namely provide summarizing abstractions over these models whilst preserving the gist of the conceptualization being represented. We performed three user studies to evaluate the usefulness of the resulting abstractions as perceived by modelers. This paper reports on the findings of these user studies and reflects on how they can be exploited to improve the existing algorithm.

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Vorheriges Kapitel Idea Browsing on Digital Participation Platforms: A Mixed-Methods Requirements Study

Nächstes Kapitel On the Semantics of Risk Propagation

Seeding is the (typically, manual) pre-selection of certain model elements that need to be maintained in the final abstraction.

A characteristic feature of aspects in UFO is that they are existentially dependent from the main entities. For example, quality Colour cannot exist without the object itself. Also, relator Employment is not possible without Employer and Employee.

https://w3id.org/ontouml-models.

https://github.com/OntoUML/ontouml-vp-plugin.

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This view of an abstract conceptual model as a type of explanation is in line with the literature on Design Theory (e.g., [17]). In this community, a conceptual model is taken to be a simplified and useful explanation of how something works from the point of view of an external observer. We come back to this idea of an abstracted model as a sort of pragmatic explanation and its grounds in Sect. 4.

The study has been reviewed and received approval from the Ethics Research Committee at the Free University of Bozen-Bolzano, Italy (Prot. n. 5/2022 from 28/09/2022).

For a discussion for why this is an error (in this case, it introduces a logical contradiction in the model), we refer to [9].

https://github.com/OntoUML/ontouml-models/tree/master/models/bank-model.

Formally, the original transformation rules as proposed in [10] only prescribed the abstractions into material relations of those relators that were connected to at most two mediation relations. In both [21] and [18], this idea was extrapolated to cover relators participating in more than two mediation relations. This experiment confirms a tacit rationale behind the original rule: relators participating in more than two mediation relations are exactly those cases that would lead to relation reification in traditional conceptual modeling, i.e., one of those cases in which modelers want to perform model expansion—the exact opposite of abstraction.

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Titel: What Do Users Think About Abstractions of Ontology-Driven Conceptual Models?
verfasst von: Elena Romanenko
Diego Calvanese
Giancarlo Guizzardi
Verlag: Springer Nature Switzerland
Buch: Research Challenges in Information Science: Information Science and the Connected World
Print ISBN: 978-3-031-33079-7

Electronic ISBN: 978-3-031-33080-3

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-33080-3_4

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