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1 aculty 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, 9 th May 2012

description

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

Transcript of P3 2-dimitris karagiannis-v2

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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

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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

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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!

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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

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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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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

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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

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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

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“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

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“plug-In” into Cloud 2

Cloud Environment

www.bivee.eu

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Faculty of Computer Science

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“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

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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]