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FInES Research Roadmap 2025 Knowledge Café Summary Michele Missikoff Task Force Coordinator October 2011

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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.


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FInES Research Roadmap 2025

Knowledge Café Summary

Michele Missikoff Task Force Coordinator

October 2011

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Objectives of the FInES RR Knowledge Café

• Discuss on the key issues of the first draft of FInES Research Roadmap

Focus on• Enterprise Systems Space• Enabling Technologies SpaceOrganization• Two parallel groups / two sessions• At the coffee break the two groups switch• Moderators and rapporteurs don’t move

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3. The Future Internet-based Enterprise Systems

This the Core 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 Dimension investigate new development techniques, with a specific focus on software applications.

Each dimension will be articulated with its Research Challenges

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3.1 The Knowledge Dimension

RC1. Unified Digital Enterprisefull digital image of the enterprise (Enterprise

Architecture Fwk), with conceptual and factual (data) knowledge, behavioural and structural aspects, at various levels of details

RC2. Linked Open Knowledgeto connect and integrate actual knowledge/ data,

in/outside of the enterprise (Web of Knowledge)

RC3. Complex Systems Modellingwith sections fully specified and sections

characterised by non deterministic behaviour

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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 platformsSmart Objects, Apps, people: all seamlessly Intp

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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

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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

• Beyond EISB. E.g.:– Design Science– Complexity Theory– Fuzzy self-organising systems– Semantics– Enterprise Engineering

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3. FInES Space key comments

• What is an Enterprise System?• Unified Digital Enterprise makes the mistake of

equating the tool with the thing itself• Unified Digital Enterprise is a very important

challenge• Knowledge dimension: we should consider adding the

consumption of knowledge and its business value• are WfM and BPM solutions able to meet the new

enterprise business dimension, made of activities which are non-procedural, non-hierarchical, fuzzy & probabilistic, human-centric, serendipitous, parallel jobs?

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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

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4. Future Technologies for FInES

4.1 Future Networking technologiesConverging, seamless scaling networking


4.2 Future Knowledge technologiesa – Diffused Knowledge Base Technology

b – From raw data to knowledge assets

c – Innovation-oriented knowledge assets

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(4. Future Technologies for FInES)

4.3 Future Application Technologies

a - Proactive and autonomic computingb - From deterministic to fuzzy

computingc - Beyond system consistencyd - Governance application technologiese - Top-down problems definition and

bottom-up systems aggregation

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(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 InteractionDisappearance of HCI. Evolution of NUI.

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4. Technology Space key comments

• 'knowledge' cannot be assigned to 'objects'. Knowledge is a truly human thing; if you take away humans, there is no such thing as 'knowledge‘

• The section should be named "Future socially-enriched knowledge Technologies“

• The statement "the role of humans in the creation of knowledge assets will progressively turn marginal" is in my view utterly false

• Complex-system engineering is less dependent on technology than traditional systems engineering

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