Conceptual Modeling

Bock, Conrad; Dandashi, Fatma; Friedenthal, Sanford; Harrison, Nathalie; Jenkins, Steven; McGinnis, Leon F.; Sztipanovits, János; Uhrmacher, Adelinde M.; Weisel, Eric W.; Zhang, Lin

doi:10.1007/978-3-319-58544-4_3

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…Central to CM is the idea of a “conceptual model” which, unsurprisingly, also has loose and diverse definitions in the literature (Delcambre et al , 2019; Topçu et al , 2016; Kühne, 2006; Bock et al , 2017). For this paper, we define conceptual models as abstractions of a system or domain to support reasoning (Kühne, 2006).…”

Section: Initial Artifact Construction and Designmentioning

confidence: 99%

“…We present a brief overview of the main CM practices as a baseline and then we explain how we have extended and redefined these practices. In the CM field, a standard and well-accepted definition is still missing, however, there is a general agreement on the purposes of CM practices: understanding domains, facilitating discussions among domain experts, providing means to communicate findings, helping answering questions, creating knowledge and supporting decision-making processes (Delcambre et al , 2019; Bock et al , 2017). Within this context, the terms “system”, “reality” and “scenario under consideration” are used indistinctively to refer to the subject of CM initiatives.…”

Section: Initial Artifact Construction and Designmentioning

confidence: 99%

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Metamodeling the e-waste domain to support decision-making

Herrera

Lara

Sánchez

et al. 2020

IJLM

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PurposeThis paper proposes a conceptualization of the e-waste domain, formalized through a metamodel, to express complex e-waste realities in a simple manner. This also enables the transition from a structural model to a behavioral model to implement analysis techniques.Design/methodology/approachThe methodology used is design science research (DSR), a problem-solving paradigm which seeks to construct a working artifact and prove its relevance. The artifact, a metamodel for the e-waste domain, was constructed through an iterative manner and later analyzed to conclude its theoretical relevance and contributions in this domain. As part of the approach, the authors used supplementary techniques such as systematic literature review (SLR), conceptual modeling (CM) and system dynamics (SD).FindingsThe application in the e-waste domain of CM techniques such as metamodeling, model-to-model transformation and simulation is valuable for supporting decision-making, especially when combined with SD. The approach presented in this paper, the conceptual tools and different simulation techniques could also be applied in other complex domains to obtain similar results.Practical implicationsThe modeling method to apply simulation techniques is targeted toward the e-waste domain experts to understand, design, implement, measure and improve strategies and public policies.Originality/valueThe use of CM techniques to model and analyze structural and behavioral e-waste scenarios.

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Section: Initial Artifact Construction and Designmentioning

confidence: 99%

Section: Initial Artifact Construction and Designmentioning

confidence: 99%

Metamodeling the e-waste domain to support decision-making

Herrera

Lara

Sánchez

et al. 2020

IJLM

View full text Add to dashboard Cite

show abstract

“…A conceptual model is a concise and purposeful consolidation of a set of concepts that are represented by means of a modeling language or method (Mayr and Thalheim, 2021). Conceptual models are early stage artifacts that represent the system of interest and provide requirements for a variety of more specialized models such as analysis and design models (Bock et al, 2017). The conceptual model must represent and specify the system sufficiently to make all stakeholders in the project are comfortable in using it as a means for understanding and discussing the system (Robinson et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A survey on the model-centered approaches to conceptual modeling of IoT systems

Kohan

Johnstone

Çetinkaya

2023

Front. Comput. Sci.

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Internet of Things (IoT) is a system of connected objects, entities, devices, and components which share and transfer data over a network. Many papers are published on the topic of conceptual models in the IoT context, but it is difficult to assess the current status of the conceptual modeling approaches and methods for IoT systems. This paper presents an overview of the state of the art as well as discusses fundamental concepts, challenges and current research gaps with potential future agenda for conceptual modeling of IoT. Search facilities in the selected online repositories were used to identify the most relevant papers. The primary results were scanned and papers were selected according to the inclusion/exclusion criteria. Selected papers were assessed to extract data for the defined attributes. This paper confirms that there is a large body of research related to modeling of IoT systems. However, the results show that there is a lack of commonly agreed approaches and supporting formal methods for conceptual modeling of IoT systems. On the other hand, recent studies that apply model-based or model-driven development principles that use ontology or metamodel based approaches are promising due to systematic use of models as the primary means of a development process enabling for the dissemination of the methods further to the emerging fields such as smart cities, factories, transportation, hospitals, healthcare, hospitality and tourism, etc.

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Specifying a modelling language for PSS Engineering – A development method and an operational tool

Medini

Boucher

2019

Computers in Industry

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Conceptual Modeling

Cited by 5 publications

References 27 publications

Metamodeling the e-waste domain to support decision-making

Metamodeling the e-waste domain to support decision-making

A survey on the model-centered approaches to conceptual modeling of IoT systems

Specifying a modelling language for PSS Engineering – A development method and an operational tool

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