Dr. Wilfrid Utz
Dr. Wilfrid Utz is one of the managing directors of OMiLAB NPO (www.omilab.org), the non-profit organisation headquartered in Berlin supporting the conceptual modelling community organized around emerging topics with repect to domain-specific conceptual modelling. Wilfrid completed his PhD thesis at the University of Vienna in the field of metamodel design and knowledge representation using conceptual structures.He has been involved in numerous international research and innovation projects and gained vast experience in the field of modelling method conceptualisation, design and implementation of modelling tools using the open ADOxx Metamodelling Platform (www.adoxx.org).
| Title ▲ | Year | Contributing OMiLAB | |
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| BEDe: A Modelling Tool for Business Ecosystems Design with ADOxx | 2021 | OMiLAB@University of Vienna | |
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| The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development | 2022 | OMiLAB@University of Vienna | |
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| Business Processes as a Service (BPaaS): A model-based approach to align business with cloud offerings | 2015 | OMiLAB@University of Vienna | |
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| Modeling Learning Data for Feedback and Assessment | 2016 | OMiLAB@University of Vienna | |
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| Design Semantics on Accessibility in Unstructured Data Environments | 2016 | OMiLAB@University of Vienna | |
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| Modeling Method Conceptualization within OMiLAB: The Secure Tropos Case | 2017 | OMiLAB@University of Vienna | |
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Abstract. Development of domain specific modeling languages is observed by a growing number of groups emphasizing the implementation of individual modeling languages, methods and approaches for a variety of application domains. Domain orientation allows to express focused models using tailored domain concepts. To raise benefits of domain-specific modeling and in particular the use of developed models, tool support must not be limited to model editors realizing a certain language, but instead must provide full-fledged functionality for domain-specific modeling methods. This paper introduces the Open Models Laboratory (OMiLAB, www.omilab.org), an open environment for method engineering and tool development. In particular, the paper reports on the Secure Tropos method engineering case in OMiLAB, realized using the ADOxx meta-modeling platform as an implementation environment. Secure Tropos is a security-aware software systems development methodology, which combines requirements engineering concepts with security engineering concepts under an unified process to support the analysis and development of secure and trustworthy software systems.
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| Metamodels as a Conceptual Structure: Some Semantical and Syntactical Operations | 2019 | OMiLAB@University of Vienna | |
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| A Metamodeling Approach to Support the Engineering of Modeling Method Requirements | 2019 | OMiLAB@University of Vienna | |
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| Design of a Domain-Specific Metamodel for Industrial Business Process Management | 2019 | OMiLAB@University of Vienna | |
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| CE-SIB: A Modelling Method Plug-in for Managing Standards in Enterprise Architectures | 2017 | OMiLAB@University of Vienna | |
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| A Toolbox Supporting Agile Modelling Method Engineering: ADOxx.org Modelling Method Conceptualization Environment | 2016 | OMiLAB@University of Vienna | |
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| The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development | 2022 | OMiLAB@UBB FSEGA | |
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Abstract. OMiLAB is a community of practice which offers a digital ecosystem bringing together open technologies to investigate and apply conceptual modeling methods for varying purposes and domains. One of the core value propositions is a dedicated Digital Innovation environment comprising several toolkits and workspaces, designed to support Product-Service Systems (PSS) prototyping – a key ingredient for PSS lifecycle management. At the core of this environment is a notion of Agile Digital Twin – a conceptual representation that can be tailored with knowledge engineering means to bridge the semantic and functional gap between a business perspective (focusing on value creation) and an engineering perspective (focusing on cyber-physical proofs-of-concept). To facilitate this bridging, the hereby proposed environment orchestrates, across three abstraction layers, methods such as Design Thinking, Agile Modeling Method Engineering and Model-driven Engineering to turn Ideation into smart Product-Service Systems experiments, in a laboratory setting. The proposed environment was built following Design Science principles. It addresses the problem of historically-disconnected skills required for Digital Innovation projects and it provides a testbed for feasibility experimentation. For design-oriented, artifact building research, a higher Technology Readiness Level can thus be achieved (compared to the level that idea development methods typically attain).
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| A BPM Lifecycle Plug-in for Modeling Methods Agility | 2019 | OMiLAB@UBB FSEGA | |
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| A Metamodeling Approach to Support the Engineering of Modeling Method Requirements | 2019 | OMiLAB@UBB FSEGA | |
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| CE-SIB: A Modelling Method Plug-in for Managing Standards in Enterprise Architectures | 2017 | OMiLAB@UBB FSEGA | |
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Abstract. In Enterprise Architecture (EA) Management, adoption of standards brings essential benefits pertaining to compatibility and repeatability but also raises governance challenges. EA frameworks recommend placing architecture artifacts under strict governance to control technological diversity towards reduced costs of operation or business-IT alignment; however, they do not provide methodological guidance on how to support decision-making for standards management. Business process management, model-driven software engineering or IT service management do address such challenges, but fall short in covering all relevant architectural layers. Driven by industry experience, this paper proposes a modelling method plug-in (“function block'') to support a model-based integration of practices for standards compliance management and their relevant model bases. It also aims for generality, as the proposal is pluggable through “semantic docking points'' to arbitrary EA frameworks. A prototypical implementation in the form of a modelling tool is discussed as an expository instantiation, as well as basis for evaluation and learned lessons.
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| Specification of FAIRWork Use Case and DAI-DSS Prototype Report – D2.1 | 2022 | FAIRWork Project | |
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Abstract. Deliverable D2.1 specifies the design requirements for the first relevant stage in the Horizon Europe project FAIRWork aiming at fair decision making within complex systems in the production domain. From the planned use cases of the industrial partners – FLEX “Automated Test Building”, “Worker Allocation”, “Machine Maintenance After Breakdown” and CRF “Workload Balance”, “Delay of Material” and “Quality Issues” – the report constitutes and specifies the basic design decisions for research and development directions in the project. A major contribution is the provision of the initial architecture of an innovative service framework for decision support systems.
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| FAIRWork Exploitation Tools (Website, Social Media, Flyer) – D8.1 | 2023 | FAIRWork Project | |
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Abstract. This report is the accompanying document for deliverable 8.1 (D8.1), in which communication and exploitation tools were created and instantiated for the FAIRWork project. They will be used to communicate information during the project runtime and support exploitation of created artefacts within and after the project runtime. Additionally, the document discusses the FAIRWork innovation shop, which is not yet available, but will be established in D8.2. The following list provides an overview of the tools, which are discussed in this document and includes important links to where they can be found:
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| Product-Service Design for Factory of the Future: The OMiLAB Community of Practice | 2024 | Playground Node | |
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Abstract. The digital era requires a re-evaluation of the infrastructures, networks, and processes needed in designing and managing innovative solutions. Within this context, experimentation environments are necessary for facilitating collaboration, knowledge transfer, and idea generation among stakeholders from various domains in a joint effort. The OMiLAB Community of Practice operates in and is supported at conceptual and technical levels by such an environment, actively enabling knowledge transfer through a wide range of activities. The core component of the community is the Digital Innovation Environment powered by OMiLAB. Conceptual modelling is the shared domain of the community, and it is utilized to connect the business world and the digital world with physical devices. This paper discusses the human–machine interaction challenge of the digital era and the three elements that are required to tackle it. As main contributions, a product-service design case driven by the OMiLAB Community of Practice for the Factory of the Future (FoF) ecosystem is presented. The findings are based on the community experience and their work as part of the EU-funded projects DigiFoF and CoDEMO 5.0.
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| A Metamodeling Approach to Support the Engineering of Modeling Method Requirements | 2019 | Playground Node | |
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