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In his presentation entitled: “FInES Research Roadmap 2025 Knowledge Café Summary”, Mr. Michele Missikoff presented the objectives of the FInES RR Knowledge Café. He discussed the dimensions (Knowledge, Functional, Engineering), Scince Base and Future Technologies of the FInES.

Transcript of 9 knowledge café summary

  • 1. FInES Research Roadmap 2025 Knowledge Caf Summary Michele MissikoffTask Force Coordinator October 2011

2. Objectives of the FInES RR Knowledge Caf

  • Discuss on the key issues of the first draft of FInES Research Roadmap
  • Focus on
  • Enterprise Systems Space
  • Enabling Technologies Space
  • Organization
  • Two parallel groups / two sessions
  • At the coffee break the two groups switch
  • Moderators and rapporteurs dont move

3. 3. The Future Internet-based Enterprise Systems

  • This theCore Space , organised in three dimensions:
  • 1. Knowledge Dimension , since before doing it is necessary to know,
  • 2. Functional Dimension , to see what will be the main functions of a FInES,
  • 3. Engineering Dimensioninvestigate new development techniques, with a specific focus on software applications.
  • Each dimension will be articulated with itsResearch Challenges

4. 3.1 The Knowledge Dimension

  • RC1. Unified Digital Enterprise
  • full digital image of the enterprise ( E nterpriseA rchitectureF wk), with conceptual and factual (data) knowledge, behavioural and structural aspects, at various levels of details
  • RC2. Linked Open Knowledge
  • to connect and integrate actual knowledge/ data,in/outside of the enterprise (Web of Knowledge)
  • RC3. Complex Systems Modelling
  • with sections fully specified and sections characterised by non deterministic behaviour

5. 3.2 The Functional Dimension of a FInES

  • RC4. Innovation-oriented enterprise production platforms
  • Invent Plan Build Operate Manage&Monitor Dissolute
  • RC5. Unified Digital Enterprise (UDE) Management System
  • Constantly evolving the UDE to guarantee a digital reality mirroring the analogical reality
  • RC6. Cooperation and collaboration platforms
  • Smart Objects, Apps, people: all seamlessly Intp

6. 3.3 The Engineering Dimension of FInES

  • RC7. Proactive FInES Mashup(Design)
  • combined top-down (goal -and human - driven) and bottom-up (event -and object - driven) design
  • RC8. Autonomic Computing Components and Subsystems(Build)
  • Dynamic (re)organization of computational business resources resources mirroring (collective intelligence).
  • RC9. Flexible Execution platforms(Exec)
  • Different integrated paradigms, Agents, Smart Objects, Utility and Commodity Clouds

7. The Science Base of FInES

  • Much of the above Research Challenges need rigorous,well-founded approaches
  • In the future FInES researches it is highly advisable to include activities related to Science Base
  • BeyondEISB . E.g.:
    • Design Science
    • Complexity Theory
    • Fuzzy self-organising systems
    • Semantics
    • Enterprise Engineering

8. 3. FInES Space key comments

  • What is anEnterprise System?
  • Unified Digital Enterprisemakes the mistake of equating the tool with the thing itself
  • Unified Digital Enterpriseis a very important challenge
  • Knowledge dimension: we should consider adding theconsumption of knowledgeand its business value
  • areWfMandBPMsolutions able to meet the new enterprise business dimension, made of activities which arenon-procedural, non-hierarchical, fuzzy & probabilistic, human-centric, serendipitous, parallel jobs ?

9. 4. Future Technologies for FInES

  • ICTs are not our core research interest, but we rely on to achieve the sought FInES
  • Networking
  • Knowledge
  • Application
  • Computation and Storage
  • Natural interaction

10. 4. Future Technologies for FInES

  • 4.1 FutureNetworkingtechnologies
  • Converging, seamless scaling networking infrastructures
  • 4.2 FutureKnowledgetechnologies
  • a Diffused Knowledge Base Technology
  • b Fromraw datatoknowledge assets
  • c Innovation-orientedknowledge assets

11. (4. Future Technologies for FInES)

  • 4.3 Future Application Technologies
  • a - Proactive andautonomiccomputing
  • b - From deterministic tofuzzycomputing
  • c - Beyond systemconsistency
  • d -Governanceapplication technologies
  • e -Top-downproblems definition andbottom-upsystems aggregation

12. (4. Future Technologies for FInES)

  • 4.5 Future computation and storage technologies
  • From Cloud to Ground Computing (IoT). Glocal computing. Interoperability, trust&security, ...will be largely achieved. New computational models
  • 4.6 Future Natural Interaction
  • Disappearance of HCI. Evolution of NUI.

13. 4. Technology Space key comments

  • 'knowledge ' cannot be assigned to 'objects'. Knowledge is a trulyhumanthing; if you take away humans, there is no such thing as 'knowledge
  • The section should be named "Futuresocially-enrichedknowledge Technologies
  • The statement "the role ofhumansin the creation of knowledge assets will progressively turnmarginal " is in my view utterly false
  • Complex-systemengineering is less dependent ontechnologythan traditional systems engineering

14. HAVE A PRODUCTIVE KC ... BE VISIONARY!