1
Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Modelling Aspects for Next-Generation Enterprise
System
Dimitris Karagiannis
University of Vienna www.dke.univie.ac.at
Translating Knowledge into Growth: Views from ICT Research to Support Future Business Innovation
Panel 3: Next-generation Enterprise System – characteristics, properties and architectural design principles
Aalborg, 9th May 2012
2
Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
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!
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Next Generation Enterprise System
uncertain
mobile
economical
complex
uncertain
mobile
economical
complex
PossibleInterpretation
partial
full
moderate
full
Computing
* FINES = Future Internet Enterprise Systems
Future*
Internet*
Enterprise*
Systems*
Focus ModellingAspects
Organisational ?
Social ?
Scientific ?
Cultural ?
. . . ?
. . . ?
. . . ?
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Some Modelling Aspects
Social computing
Organizational computing
Cultural computing
Scientific computing
• Biological Simulation• Chemical Substance Simulations• Astrophysical Map Analysis• Complex System Modelling• Radiology Simulation• Gene Regulatory Network• Earthquake Assessment• …
• Compliance Management• IT-Security• Patient Flow Analysis• Industrial Packaging Problem• Process Chain Analysis• Enterprise Modelling• IT-System Modelling• …
• Policy Model • Evolution of culture• Global phenomenon model • Violence Prediction• Failed State Identification• Neighbourhood Change • Cultural Belief Network Simulator• …
• Social Network Analysis• System Analysis• Economic Cybernetics• Human Response Prediction• Formation Behaviour Model• …
Next Generation Enterprise System
Aspects
considers
consid
ers
considers
Universal Business Ecosystem needs to considers heterogeneous aspects
. . .
• …
considers
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Selected Aspects for FInES*
Modelling Tasks Modelling RequirementNext Generation Enterprise System Aspects
• World Area?• Purpose?• Object of Observation?• Property of Reduction?• Nature?• Level of Detail?• Semantic Expressiveness?• Evolution and Maintenance?• Kind of Interpretation?• Level of underlying formalism?• Level of abstraction• Thinking paradigm / • Family?
• Semantic primitives• Syntax• Semantic• Notation• Procedures• Mechanisms• Algorithms• Repository• Tool Functionality• Integration Possibilities• Processing Capabilities• Representation Capabilities• Mobile usage• Exchange Formats• Publishing Formats
Conceptual Aspects
Technical Aspects
* FInES Research Roadmap 2025 v2, March 2012 DRAFT
6
Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Challenges for FInES
What is the most appropriate Modelling Approach to cover all of
these aspects?
Hybrid Modelling!
Hybrid Modelling!
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Hybrid Modelling 1
- Semantic interoperability- Conceptual Integration, mapping and matching- Semantic Loss- Cross-domain knowledge acquisition and reconciliation- Comparison and similarity discovery- Model consistency and referential integrity - . . .
Hybrid Modelling Challenges
Hybrid Modelling
Interaction LayerInteraction Layer
Knowledge LayerKnowledge Layer
Domain LayerDomain LayerBusiness Processes
Supply Chain
SemanticIT Systems
Performance
Workflows
Cultural
Social
Organisational
Scientific. . .
e.g.
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Hybrid Modelling 2: Formal Concepts on Domain Layer
Concept from A Concept from B
Mediating superconcept
Mediating subconcept
Metamodel AMetamodel B
Semantic mediation
Reference ontology Integration model
Reference alignment
Underlying graph or query rewriting rules
Mapping
Similarity metrics:•Taxonomical level•Relational level•Syntactical level
Similarity discovery
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Hybrid Modelling 3: Generic Modelling Method Specification Framework
arrangesaccordingto
definesgrammar
Semantics
definesmeaning
SemanticSchema
Syntax
SemanticMapping
connectsconsiders
Notation
ModellingLanguage
semantics
semanticdomain
syntaxnotation
modellinglanguage
definesvisualization
visualizes
semanticmapping
describesmeaningof
definesway of languageapplicationdelivers
results
modelingprocedure
modellingtechnique
modellingmethod
mechanisms& algorithms
usedfor
usedin
genericmechanisms& algorithms
hybridmechanisms& algorithms
specificmechanisms& algorithms
steps(designlogic)
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.
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Hybrid Modelling 4: High Level Architecture of the ADOxx® Meta Modelling Platform
www.boc-group.com
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Challenges for FInES
What is the most appropriate Modelling Approach to cover all of
these aspects?
Hybrid Modelling!
Hybrid Modelling!
(a) Conceptual Modelling Challenges (b) “plug-in” into Cloud Environment
12
Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Conceptual Modelling Challenge 1
1
2 3
1. Mobile interaction requirements2. Interact with the Linked Data3. Access control requirements
Execution Time Design Time
ComVantage – Collaborative Manufacturing Network for Competitive Advantage
www.comvantage.eu
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Conceptual Modelling Challenge 2
Task overview•Task 1•Task 2•Task 3•Task 4
value
Ok
Mobile Mockup Model•Classes are GUI elements•Supports Mobile feature design
Business Process Model•Classes are activities, decisions, hubs, mobile support•Supports design for business processes with mobile support
App orchestration model:
Reflects precedence of feature accesses derived from business processes
Please fill
Model-to-object mapping
Derivation through graph rewriting rules
Object-to-object mappings
www.comvantage.eu
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
“plug-In” into Cloud 1
Cloud Environment
BIVEE – Business Innovation and Virtual Enterprise Environment
www.bivee.eu
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
“plug-In” into Cloud 2
Cloud Environment
www.bivee.eu
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
“plug-In” into Cloud 3
www.bivee.eu
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
Key Messages
1) Observation that one Modelling Method is not enough to cover all Modelling Aspects of Next Generation Enterprise Systems
2) Hybrid Modelling as “Solution Approach”
3) Best Practice of FInES Cluster• ComVantage - www.comvantage.eu• BIVEE - www.bivee.eu
4) Outlook towards Open Models Initiative as Collaboration Platform
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
EU-Project Collaboration
&Comvantage
Collaborate with other Projects @ OMI
Details available at: http://www.openmodels.at
UPCOMING EVENT:Vienna, September 13, 2012
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Faculty of Computer Science
o.Univ.-Prof. Dr. Dimitris Karagiannis
THANK YOU !
Dimitris KaragiannisUniversity of [email protected]
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