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Domain-Specific Conceptual Modeling: Concepts, Methods and ADOxx Tools 2022 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 656 pages, kõrgus x laius: 235x155 mm, kaal: 1015 g, 255 Illustrations, color; 97 Illustrations, black and white; XIV, 656 p. 352 illus., 255 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 12-Mar-2023
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030935493
  • ISBN-13: 9783030935498
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  • Formaat: Paperback / softback, 656 pages, kõrgus x laius: 235x155 mm, kaal: 1015 g, 255 Illustrations, color; 97 Illustrations, black and white; XIV, 656 p. 352 illus., 255 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 12-Mar-2023
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030935493
  • ISBN-13: 9783030935498
This book demonstrates the significance of domain-specific conceptual modeling through new research and development approaches that are manifested in each of the chapters. They include novel modelling methods and tools that emphasize the recent results accomplished and their adequacy to assess specific aspects of a domain.





Each chapter offers detailed instructions on how to build models in a particular domain, such as product-service engineering, enterprise engineering, digital business ecosystems, and enterprise modelling and capability management. All chapters are enriched with case studies, related information, and tool implementations. The tools are based on the ADOxx metamodelling platform and are provided free of charge via OMiLAB. Furthermore, the book emphasizes possible future developments and potential research directions.





The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.
Part I: Background.-
1. Conceptual Modelling Methods: The AMME Agile
Engineering Approach.-
2. Development of Conceptual Models and Realization of
Modelling Tools Within the ADOxx Meta-Modelling Environment: A Living Paper.-
3. Challenging Digital Innovation Through the OMiLAB Community of Practice.-
Part II: Previous Volume: Synopsis.-
4. The Purpose-Specificity Framework for
Domain-Specific Conceptual Modeling.- Part III: Enterprise Management.-
5.
Enterprise Modeling with 4EM: Perspectives and Method.-
6. PGA 2.0: A
Modeling Technique for the Alignment of the Organizational Strategy and
Processes.-
7. The LiteStrat Modelling Method: Towards the Alignment of
Strategy and Code.-
8. itsVALUE: Modelling and Analysing Value Streams for IT
Services.- Part IV: Enterprise Information Systems.-
9. Enterprise
Construction Modeling Method.-
10. Tool Support for Fractal Enterprise
Modeling.-
11. The Integration of Risk Aspects into Business Process
Management: The e-BPRIM Modeling Method.-
12. Modeling the Phenomenon of
Capability Change: The KYKLOS Method.-
13. A Security Assessment Platform for
Stochastic Petri Net (SPN) Modelling in the Internet of Things (IoT)
Ecosystem.- Part V: Business Ecosystems and Services.-
14. A Modeling Tool
for Exploring Business Ecosystems in a (Pre-)conceptual Phase.-
15. A
Capability-Based Method for Modeling Resilient Data Ecosystems.-
16. Space of
Services Method (SoS).-
17. Design and Engineering of Product-Service Systems
(PSS): The SEEM Methodology and Modeling Toolkit.- Part VI: Knowledge
Engineering.-
18. Model-Based Guide Toward Digitization in Digital Business
Ecosystems.-
19. Generating ROS Codes from User-Level Workflow in PRINTEPS.-
20. ECAVI: An Assistant for Reasoning About Actions and Change with the Event
Calculus.- Part VII: Technology Enhanced Education.-
21. Tree Diagrams and
Unit Squares 4.0: Digitizing Stochastic Classes with the Didactic Modeling
Tool PROVIS.-
22. Improving Student Mobility Through Automated Mapping of
Similar Courses.- Part VIII: Digital Humanities.-
23. Aggregation and
Curation of Historical Archive Information.- Part IX: Modelling Method
Conceptualization.-
24. Conceptualization of Modelling Methods in the Context
of Categorical Mechanisms.-
25. Conceptualizing Design Thinking Artefacts:
The Scene2Model Storyboard Approach.-
26. An Approach to the Information
System Conceptual Modeling Based on the Form Types.- Part X: Conceptual
Modelling Language Extension.-
27. BPMN4MoPla: Mobility Planning Based on
Business Decision-Making.-
28. BPMN Extension for Multi-Protocol Data
Orchestration.
Dimitris Karagiannis is Full Professor for Business Informatics at the University of Vienna since 1993, leading the Research Group Knowledge Engineering. His research interests include meta-modelling, knowledge engineering, business process management, enterprise architecture management, and artificial intelligence. The industrial application of his meta-modelling research was demonstrated within the BOC Group, a European software- and consulting company. In parallel scientific applications of his research are used in the Digital Innovation Environment of OMiLAB, an active global community for conceptual modelling that benefits from open artefacts.Moonkun Lee is Full Professor for Computer Science and Engineering at Jeonbuk National University (JBNU) in the Republic of Korea since 1996. His main research interests are software round-trip engineering, distributed real-time systems, formal methods, ontology, and behavior engineering. Currently he focuses on the specification, analysis, verification, and the implementation of cyber-physical systems for smart cities and industry applications.





Knut Hinkelmann is Professor for Information Systems and Head of the Master of Science in Business Information Systems at the FHNW University of Applied Sciences and Arts Northwestern Switzerland, where he also is head of the research group Intelligent Information Systems. He is also Managing Director of OMiLAB since 2020. His research interests are Enterprise Modeling and Artificial Intelligence.





Wilfrid Utz is one of the Managing Directors of OMiLAB, the non-profit organisation supporting the conceptual modelling community organized around emerging topics with respect to domain-specific conceptual modelling. He completed his PhD thesis in 2020 at the University of Vienna in the field of meta-model design and knowledge representation using conceptual structures and has been involved in numerous international research and innovationprojects.