On Domain Conceptualization

Proper, Henderik A.; Guizzardi, Giancarlo

doi:10.1007/978-3-030-74196-9_4

Cited by 7 publications

(4 citation statements)

References 51 publications

(85 reference statements)

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“…Based on foundational work by, e. g., Apostel (1960), and, more recent work on the same by different authors (Rothenberg 1989;Thalheim 2011;, as well as our own work (Hoppenbrouwers et al 2005;Proper et al 2005;Guarino et al 2020;Guizzardi 2007;Bjeković et al 2014;Proper and Guizzardi 2021;Proper and Guizzardi 2022), we currently understand a domain model to be:…”

Section: Domain Models and Their Romementioning

confidence: 99%

“…Information characteristics are based on fundamental abstraction mechanisms and modeling constructs Mylopoulos 1998;Proper and Guizzardi 2021;Roth et al 2014) and summarized in Table 12.1. The first information characteristic, completeness of entities discussed (of a specific type) considers whether it is relevant for a session to identify 'all' the entities of a certain type (e. g., competitors, processes, IT systems) or whether focusing on the essentials/'game changing' entities is enough.…”

Section: Dimensions and Characteristics To Classify Cstsmentioning

confidence: 99%

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Informing Possible Future Worlds

2024

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For more than 35 years, Ulrich Frank has shaped Wirtschaftsinformatik as a scientific discipline through thoughtful and sophisticated research contributions and his numerous contributions to the scientific community.Informing Possible Future Worlds is the Festschrift in honour of Ulrich Frank on the occasion of his 65 th birthday. The Festschrift includes twenty-three essays written by friends, colleagues, and fellow researchers in recognition of Ulrich's contributions to Wirtschaftsinformatik research and the scientific community. Each essay is a personal and unique 'birthday present' to Ulrich Frank written exclusively for the Festschrift. From original research contributions to more personal reflections, the essays cover a wide range of topics, themes, and fields -just like Ulrich Frank's contributions.For more than 35 years, Ulrich Frank has shaped and promoted Wirtschaftsinformatik as a scientific discipline through his thoughtful and sophisticated research contributions and his numerous contributions to the scientific community. He has initiated, engaged in and promoted scientific discourse nationally and internationally, inspired, encouraged and guided young researchers, and played an outstanding part in the Wirtschaftsinformatik community.Starting with his Diplomarbeit in 1982 on 'Die Problematisierung von Zielbildungsprozessen in Unternehmungen durch die Betriebswirtschaftslehre unter besonderer Berücksichtigung des Verhältnisses von Wissenschaft und Praxis' (supervised by Erwin Grochla at the Universität zu Köln), Ulrich has cultivated his interest not only in Betriebswirtschaftslehre and Wirtschaftsinformatik, Software Engineering and Conceptual Modelling, but also in the Philosophy of Science, the Philosophy of Language, the Sociology of Knowledge and in Organisational Sociology. For his Diplomarbeit, he read Albert, Feyerabend, Mittelstrass, and Popper, among others, and reflected on organisational goal-setting ('Zielbildungsprozesse') from multiple, complementary perspectives -a lifelong leitmotiv he later incorporated in his Multi-Perspective Enterprise Modelling (MEMO) method.An avid reader and bibliophile, Ulrich must have learned about Niklas Luhmann, the German sociologist working at Universität Bielefeld, Ulrich's hometown, likely in his teens, and started his own personal discourse with Luhmann's writings, and from there on expanded his readings. At about the same time, Ulrich started to program computers, developed and sold his first software application, and, most importantly, discovered Smalltalk, the programming language created by Alan Kay and others at Xerox PARC's Learning Research Group -which has strongly influenced him to this day and which he has admired ever since.Following his discovery of Smalltalk, he took a deep dive into Object-Oriented Programming and Object-Oriented Modelling that took him to take a minor in Angewandte Informatik (Applied Informatics) at the Universität zu Köln during his graduate studies.vii His doctoral research with Alfred Kieser at Universität Mannheim ...

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Section: Domain Models and Their Romementioning

confidence: 99%

Section: Dimensions and Characteristics To Classify Cstsmentioning

confidence: 99%

Informing Possible Future Worlds

2024

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“…The idea was to develop a "Calculus of Content" aimed at supporting the ontological analysis, conceptual clarification, and semantic explicitation of the content embedded in representation artifacts. These, in turn, should support human users in tasks such as domain understanding, problem-solving, and meaning negotiation (Guarino et al, 2020;Proper and Guizzardi, 2020;Guizzardi, 2020).…”

Section: Principles and Structure Of Ufomentioning

confidence: 99%

UFO: Unified Foundational Ontology

Guizzardi

Benevides

Fonseca

et al. 2022

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The Unified Foundational Ontology (UFO) was developed over the last two decades by consistently putting together theories from areas such as formal ontology in philosophy, cognitive science, linguistics, and philosophical logics. It comprises a number of micro-theories addressing fundamental conceptual modeling notions, including entity types and relationship types. The aim of this paper is to summarize the current state of UFO, presenting a formalization of the ontology, along with the analysis of a number of cases to illustrate the application of UFO and facilitate its comparison with other foundational ontologies in this special issue. (The cases originate from the First FOUST Workshop – the Foundational Stance, an international forum dedicated to Foundational Ontology research.)

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“…Conceptual models represent the static characteristics of a system, and they refer to models that have been formed after they have been conceptualized. Ontology is a formal description of a domain conceptualization (Proper & Guizzardi, 2021), which is composed of a set of names for concepts, roles and individuals to represent a knowledge base composed of a terminology set and a set of assertions. In the terminology part (TBOX), we define axioms for general concepts and role inclusions.…”

Section: Introductionmentioning

confidence: 99%

Formalization of Ontology Conceptualizations Using Model Transformation

Boudia

Bourahla

2022

International Journal of Information System Modeling and Design

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Conceptual models are built with concepts and relationships between them to reach a unified view of domain problems. There are many kinds of conceptual models developed in different modeling languages, such as class diagrams and entity-relationship models. In this paper, the authors have developed a specific meta-model following the Ecore standard to define conceptual models. These domain-specific conceptual models can be automatically formalized as domain ontologies using model transformation with the technique of triple graph grammars into ontology formal descriptions in accordance with the defined Ecore meta-model of the language OWL (web ontology language). For ontology deployment, its OWL code may be generated from OWL models using model-to-code transformation guided by Xpand templates. A performance evaluation is realized using a benchmark from the university domain with very large conceptual models. Through the experiments, they validate the performance and we prove the exactness and the scalability of the automatic transformation process of conceptual models.

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On Domain Conceptualization

Cited by 7 publications

References 51 publications

Informing Possible Future Worlds

Informing Possible Future Worlds

UFO: Unified Foundational Ontology

Formalization of Ontology Conceptualizations Using Model Transformation

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