Montecchiari, Devid

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Montecchiari
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Devid
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Devid Montecchiari

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2020 - 20224
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Dateien dazu vorhanden?: Nein × Institut: Institut für Wirtschaftsinformatik ×

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  • Vorschaubild nicht verfügbar
    Publikation
    Towards ontology-based validation of EA principles
    (2022) Montecchiari, Devid; Hinkelmann, Knut; Barn, Balbir S.; Sandkuhl, Kurt [in: The Practice of Enterprise Modeling. 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23-25, 2022. Proceedings]
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Agile visualization in design thinking
    (Springer, 2020) Laurenzi, Emanuele; Hinkelmann, Knut; Montecchiari, Devid; Goel, Mini; Dornberger, Rolf [in: New trends in business information systems and technology]
    This chapter presents an agile visualization approach that supports one of the most widespread innovation processes: Design Thinking. The approach integrates the pre-defined graphical elements of SAP Scenes to sketch digital scenes for storyboards. Unforeseen scenarios can be created by accommodating new graphical elements and related domain-specific aspects on-the-fly. This fosters problem understanding and ideation, which otherwise would be hindered by the lack of elements. The symbolic artificial intelligence (AI)-based approach ensures the machineinterpretability of the sketched scenes. In turn, the plausibility check of the scenes is automated to help designers creating meaningful storyboards. The plausibility check includes the use of a domain ontology, which is supplied with semantic constraints. The approach is implemented in the prototype AOAME4Scenes, which is used for evaluation.
    04A - Beitrag Sammelband
  • Vorschaubild nicht verfügbar
    Publikation
    Ontology-based visualization for business model design
    (Springer, 2020) Peter, Marco; Montecchiari, Devid; Hinkelmann, Knut; Gatziu Grivas, Stella; Grabis, Jānis; Bork, Dominik [in: The Practice of Enterprise Modeling. 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25-27, 2020. Proceedings]
    The goal of this paper is to demonstrate the feasibility of combining visualization and reasoning for business model design by combining the machine-interpretability of ontologies with a further development of the widely accepted business modeling tool, the Business Model Canvas (BMC). Since ontologies are a machine-interpretable representation of enterprise knowledge and thus, not very adequate for human interpretation, we present a tool that combines the graphical and human interpretable representation of BMC with a business model ontology. The tool connects a business model with reusable data and interoperability to other intelligent business information systems so that additional functionalities are made possible, such as a comparison between business models. This research follows the design science strategy with a qualitative approach by applying literature research, expert interviews, and desk research. The developed AOAME4BMC tool consists of the frontend, a graphical web-based representation of an enhanced BMC, a web service for the data exchange with the backend, and a speci c ontology for the machine-interpretable representation of a business model. The results suggest that the developed tool AOAME4BMC supports the suitability of an ontology-based representation for business model design.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model
    (2020) Hinkelmann, Knut; Laurenzi, Emanuele; Martin, Andreas; Montecchiari, Devid; Spahic, Maja; Thönssen, Barbara; Hammoudi, Slimane; Ferreira Pires, Luis; Selić, Bran [in: Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development]
    Many enterprises face the increasing challenge of sharing and exchanging data from multiple heterogeneous sources. Enterprise Ontologies can be used to effectively address such challenge. In this paper, we present an Enterprise Ontology called ArchiMEO, which is based on an ontological representation of the ArchiMate standard for modeling Enterprise Architectures. ArchiMEO has been extended to cover various application domains such as supply risk management, experience management, workplace learning and business process as a service. Such extensions have successfully proven that our Enterprise Ontology is beneficial for enterprise applications integration purposes.
    04B - Beitrag Konferenzschrift