P3 2-dimitris karagiannis-v2

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Dimitris Karagiannis from the University of Vienna presented "Modelling Aspects for Next-Generation Enterprise System" (FInES Workshop at Aalborg)

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  • I’m not sure if the IT systems involvement of 0/100 (or core/marginal) makes sense. Modelling for NEGS should be introduced here directly and mapped on the 4 letters instead of the IT systems thing.
  • P3 2-dimitris karagiannis-v2

    1. 1. Translating Knowledge into Growth: Views from ICT Research to Support Future Business Innovation Modelling Aspects for Next-Generation Enterprise System Panel 3: Next-generation Enterprise System – characteristics, properties and architectural design principles Aalborg, 9th May 2012 Dimitris Karagiannis University of Vienna www.dke.univie.ac.at 1 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    2. 2. Translating Knowledge into Growth The results of modelling are not only used for the production of software, but also act as an Enterprise Knowledge Platform! 2 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    3. 3. Next Generation Enterprise System Possible Computing Modelling Focus Interpretation Aspects Future* uncertain partial Cultural ? uncertain ...? Social ? Internet* mobile full mobile ...? Enterprise* economical moderate Organisational ? economical ...? Systems* complex full Scientific ? complex * FINES = Future Internet Enterprise Systems 3 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    4. 4. Some Modelling Aspects Cultural Social Organizational Scientific ... computing computing computing computing • Policy Model • Social Network Analysis • Compliance Management • Biological Simulation • … • Evolution of culture • System Analysis • IT-Security • Chemical Substance Simulations • Global phenomenon • Economic Cybernetics • Patient Flow Analysis • Astrophysical Map Analysis model • Human Response • Industrial Packaging • Complex System Modelling • Violence Prediction Prediction Problem • Radiology Simulation • Failed State Identification • Formation Behaviour • Process Chain Analysis • Gene Regulatory Network • Neighbourhood Change Model • Enterprise Modelling • Earthquake Assessment • Cultural Belief •… • IT-System Modelling •… Network Simulator •… •… co ns s i de id er rs Next Generation ns co Enterprise System Aspects co e rs ns sid ide n rs co Universal Business Ecosystem needs to considers heterogeneous aspects 4 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    5. 5. Selected Aspects for FInES* Modelling Tasks Next Generation Modelling Requirement Enterprise System Aspects• World Area? • Semantic primitives• Purpose? • Syntax• Object of Observation? • Semantic• Property of Reduction? • Notation• Nature? • Procedures• Level of Detail? • Mechanisms• Semantic • Algorithms Expressiveness? • Repository• Evolution and • Tool Functionality Maintenance? • Integration Possibilities• Kind of Interpretation? • Processing Capabilities• Level of underlying • Representation formalism? Capabilities• Level of abstraction • Mobile usage• Thinking paradigm / • Exchange Formats• Family? • Publishing Formats Conceptual Aspects Technical Aspects 5 * FInES Research Roadmap 2025 v2, March 2012 DRAFT o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    6. 6. Challenges for FInES What is the most appropriate Modelling Approach to cover all of these aspects? Hybrid Modelling! 6 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    7. 7. Hybrid Modelling 1 Hybrid Modelling Challenges Interaction Layer - Semantic interoperability - Conceptual Integration, mapping and matching - Semantic Loss - Cross-domain knowledge acquisition and reconciliation - Comparison and similarity discovery - Model consistency and referential integrity -... Cultural Organisational Knowledge Layer ... Social Scientific Hybrid Modelling Business Processes Supply Chain Domain Layer e.g. Performance Semantic IT Systems Workflows 7 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    8. 8. Hybrid Modelling 2: Formal Concepts on Domain Layer Semantic mediation Reference alignment Mediating Metamodel B Metamodel A superconcept Reference Concept from A Concept from B ontology Integration model Mediating subconcept Similarity discovery Underlying graph or Similarity metrics: query rewriting rules •Taxonomical level •Relational level •Syntactical level Mapping 8 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    9. 9. Hybrid Modelling 3: Generic Modelling Method Specification Framework modelling method used for mechanisms used in & algorithms modelling technique defines way of language application defines visualization modeling delivers Modelling modelling procedure generic language Language defines meaning mechanisms & algorithms defines grammar specific describes steps results mechanisms notation Notation visualizes syntax Syntax meaning of Semantics semantics (design logic) & algorithms hybrid considers arranges mechanisms connects according to Semantic semantic Semantic semantic & algorithms Mapping mapping Schema domain Karagiannis, D., Kühn, H.: „Metamodelling Platforms“. In Bauknecht, K., Min Tjoa, A., Quirchmayer, G. (Eds.): Proceedings of the Third International Conference EC-Web 2002 – Dexa 2002, Aix-en-Provence, France, September 2002, LNCS 2455, Springer, Berlin/Heidelberg, p. 182 ff. 9 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    10. 10. Hybrid Modelling 4: High Level Architecture of the ADOxx® Meta Modelling Platform www.boc-group.com 10 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    11. 11. Challenges for FInES What is the most appropriate Modelling Approach to cover all of these aspects? Hybrid Modelling! (a) Conceptual Modelling Challenges (b) “plug-in” into Cloud Environment 11 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    12. 12. Conceptual Modelling Challenge 1 Execution Time Design Time 1 2 3 1. Mobile interaction requirements 2. Interact with the Linked Data 3. Access control requirements ComVantage – Collaborative Manufacturing Network for Competitive Advantage www.comvantage.eu 12 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    13. 13. Conceptual Modelling Challenge 2 Business Process Model •Classes are activities, decisions, hubs, mobile support •Supports design for business processes with mobile support Mobile Mockup Model •Classes are GUI elements •Supports Mobile feature design         Task overview •Task 1       •Task 2 Model-to-object mapping •Task 3       •Task 4 Please fill     value Object-to-object mappings Ok Derivation through graph rewriting rules App orchestration model: Reflects precedence of feature accesses derived from business www.comvantage.eu processes 13 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    14. 14. “plug-In” into Cloud 1 Cloud Environment BIVEE – Business Innovation and Virtual Enterprise www.bivee.eu Environment 14 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    15. 15. “plug-In” into Cloud 2 Cloud Environment www.bivee.eu 15 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    16. 16. “plug-In” into Cloud 3 www.bivee.eu 16 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    17. 17. Key Messages 1) Observation that one Modelling Method is not enough to cover all Modelling Aspects of Next Generation Enterprise Systems 3) Hybrid Modelling as “Solution Approach” 5) Best Practice of FInES Cluster • ComVantage - www.comvantage.eu • BIVEE - www.bivee.eu • Outlook towards Open Models Initiative as Collaboration Platform 17 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    18. 18. Collaborate with other Projects @ OMI EU-Project Collaboration UPCOMING EVENT: Vienna, September 13, 2012 & Comvantage Details available at: http://www.openmodels.at 18 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science
    19. 19. THANK YOU ! Dimitris Karagiannis University of Vienna dk@dke.univie.ac.at 19 o.Univ.-Prof. Dr. Dimitris KaragiannisFaculty of Computer Science

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