Combining UML and ontology: An exploratory survey

Mkhinini, Meriem Mejhed; Labbani-Narsis, Ouassila; Nicolle, Christophe

doi:10.1016/j.cosrev.2019.100223

Cited by 24 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper has adopted the use of UML class diagrams for the illustration of this ontology in recognition of their following attributes: UML class diagrams are consistent with the object-centred outcomes traditional ontologies seek to represent, across various domains of interest. 77 In this use-case, UML is effective in achieving the ontological outcome of ‘explicit specification of a conceptualisation’ or declarative formalism . 78 Through the use of class diagrams, UML can be used to describe both the arrangement and semantics required to understand relationships, via the use of labels.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology

Dart

Ahmed

2023

DIGITAL HEALTH

View full text Add to dashboard Cite

Purpose This paper proposes a novel cyber security risk governance framework and ontology for large Australian healthcare providers, using the structure and simplicity of the Unified Modelling Language (UML). This framework is intended to mitigate impacts from the risk areas of: (1) cyber-attacks, (2) incidents, (3) data breaches, and (4) data disclosures. Methods Using a mixed-methods approach comprised of empirical evidence discovery and phenomenological review, existing literature is sourced to confirm baseline ontological definitions. These are supplemented with Australian government reports, professional standards publications and legislation covering cyber security, data breach reporting and healthcare governance. Historical examples of healthcare cyber security incidents are reviewed, and a cyber risk governance UML presented to manage the defined problem areas via a single, simplified ontological diagram. Results A clear definition of ‘cyber security’ is generated, along with the ‘CYBER-AIDD’ risk model. Specific examples of cyber security incidents impacting Australian healthcare are confirmed as N = 929 over 5 years, with human factors the largest contributor. The CYBER-AIDD UML model presents a workflow across four defined classes, providing a clear approach to implementing the controls required to mitigate risks against verified threats. Conclusions The governance of cyber security in healthcare is complex, in part due to a lack of clarity around key terms and risks, and this is contributing to consistently poor operational outcomes. A focus on the most essential avenues of risk, using a simple UML model, is beneficial in describing these risks and designing governance controls around them.

show abstract

Section: Resultsmentioning

confidence: 99%

“…UML class diagrams are consistent with the object-centred outcomes traditional ontologies seek to represent, across various domains of interest. 77 …”

Section: Resultsmentioning

confidence: 99%

CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology

Dart

Ahmed

2023

DIGITAL HEALTH

View full text Add to dashboard Cite

show abstract

“…This computer language is widely used to automate industrial processes and systems, mainly for mapping and investigating solutions and alternatives for process problems (Garcés et al , 2019). Thus, UML is an object-oriented metamodel that can be used to define new elements related to processes (Lodderstedt et al , 2002) and is widely used by the engineering community for software design and analysis (Mkhinini et al , 2020). The UML language (Figure 7 (c)) is used to provide graphic modeling for analysis of cooperative behaviors (Ren et al , 2017).…”

Section: Resultsmentioning

confidence: 99%

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

Sott

Furstenau

Kipper

et al. 2021

BPMJ

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.Design/methodology/approachTo do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.FindingsThe results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.Originality/valueIt was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.

show abstract

“…Unified Modeling Language, allowing for the visualization of semantics in great detail and being easily comprehensible for engineers, supports the development of software tools and information systems necessary for designing and planning concrete printing projects. However, UML is bound to closed-world assumptions and may contain design errors leading to unsatisfiable concepts [38]. To enable open-world assumptions for knowledge-based reasoning, to provide vocabulary, and to verify the PIM model's satisfiability, a printing information ontology that formalizes the previous UML class diagram for the Web Ontology Language (OWL) is developed.…”

Section: Formal Modeling Of the Printing Informationmentioning

confidence: 99%

Printing Information Modeling (PIM) for Additive Manufacturing of Concrete Structures

Peralta Abadia,

Ahmad,

Smarsly

2023

Applied Sciences

View full text Add to dashboard Cite

In the context of Industry 4.0, construction processes are shifting towards automation by implementing additive manufacturing (AM) of concrete structures, also referred to as concrete printing. Adapting concrete as a printing material entails complex material–process interactions between concrete and manufacturing processes that require specialized data modeling. However, data modeling for the AM of concrete structures has not kept up with concrete printing research and development. Aiming to enhance data modeling for the AM of concrete structures, this paper proposes a semantic modeling approach, referred to as “printing information modeling” (PIM). The PIM approach defines input parameters and material–process interaction in a generic printing information model for designing and planning concrete printing projects. Exchange requirements for concrete printing are identified and evaluated, serving as the basis for the printing information model. The printing information model, as a semantic (or meta) model, is conceptualized using object-oriented modeling concepts, formalized as an ontology, verified as an instantiable semantic model, and validated with a software tool developed as a plug-in for BIM platforms. As a result, a printing information model is developed to serve as a generally valid semantic model for the AM of concrete structures and has the potential to improve data modeling concepts currently deployed for concrete printing.

show abstract

Combining UML and ontology: An exploratory survey

Cited by 24 publications

References 39 publications

CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology

CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

Printing Information Modeling (PIM) for Additive Manufacturing of Concrete Structures

Contact Info

Product

Resources

About