Interoperability Science Base

The Way Forward 

Yannis CharalabidisGreek Interoperability Centre

Interoperability Facet Contents

Enterprise Interoperability

Legislation and business rules representation and alignment, collaborative business models, collaborative enterprise goal setting, cross enterprise and international supply chain collaboration

Organisational Interoperability

Process representation and alignment , collaborative process design, business process re-engineering for interoperability, collaborative organisational models

Semantic Interoperability

Data and representation schemas, XML standards (generic and sectoral), common ontologies, metadata sets, unified codelists, core components, data elements, glossaries

Technical Interoperability

Technical standards and agreements on system interconnection, web services collaboration, information representation formats, middleware, platforms, network connectivity, accessibility and security

Interoperability “Facets”

Facets, Methods, Subjects and Application Domains For Interoperability: The 4-dimensional space

Semantic Interoperability

Technical Interoperability

Enterprise Interoperabil

ity

Organisational

Interoperability

Methods: Formal description means, models, tools, standards

Subjects: Organisations, systems, processes, data, rules, people

Interoperability Facets

Application Domains: Administrations, businesses, specific industry sectors

Scientific Means for Interoperability (in comparison with Software Engineering)

Problem Space Description Methods

Solution Space Description Methods

Assessment Models, Interoperability Metrics

Standards, Guidelines & Algorithms

Testing Tools

SemanticsLevel

ModelsLevel

ToolsLevel

Simulation ToolsInteroperability Infrastructures

OrchestrationLevel

Interoperability Frameworks

Value Generating Scenarios, Collaborative

Business Models

Software Development

Platforms, CASE Tools

Software Life Cycles, Process and

Configuration Management

Requirements, Design and

Programming Languages

Software Engineering

Methods, Software Metrics, Software

Quality

Interoperability Science Software Engineering

Neighboring Scientific Domains

Formal Sciences - Mathematics

Logic

Set Theory

Graph Theory

Information Theory

Social Sciences

Economics

Legal Science

Public Administration

Applied Sciences

Management

Computer Engineering

Systems Engineering

Formal Sciences – Computers

Information Systems

Software Engineering

Computational Theory

Information Science

Algorithms

Data Structures

Formal Sciences – Systems

Systems Theory

Control Theory

Systems Dynamics

Operations Research

SemanticsLevel

ModelsLevel

Tools Level

OrchestrationLevel

Interoperability Science

Steps to make a new Science

Concept Formulation

Foundational Principles

Development and Extension

Internal Enhancement & Exploration

External Enhancement & Exploration

Popularisation

Wave 1

Wave 2

Wave 3

Time

Impact

Ability to identify and describe problems and solutions. Research community establishment. Convergence on initial concepts.

Stabilisation of models and tools. Population of solution scenaria. Impact assessment and simulation. Training curriculum.

Industrial quality solutions. Communication and marketing towards broader communities. Substantiation of value.

Possible next steps (1)Key initiatives for the short/medium term –

Development of Methods◦ The taxonomy of interoperability (facets, subjects,

methods, domains)◦ Formal methods for categorising and analysing

problems and solutions (candidates: sets, vectors, categories, information flow, pattern theories)

◦ Metrics and Assessment models (candidates: Interoperability Maturity Matrix, eGOV Interoperability Assessment Frameworks)

◦ Decision Support & Simulation Tools (supporting problem-solution relation, utilising BPM/BPR tools, vertical approaches)

◦ Interoperability Testing Facilities ?

Possible next stepsApplication and Documentation

◦ Solution paradigms (Springing out of projects, clearly related to problem definition)

◦ Interoperabilty infrastructures (sustainable project outcomes)

◦ Material (re)development, towards practitioners and universities

Popularisation◦ Internal and external Community building◦ Tie-up with key research initiatives (cloud

computing, internet of services, internet of things)◦ Substantiation of value (work together with

business associations and industry)

ENSEMBLEEnvisioning, Supporting and Promoting Future Internet Enterprise Systems Research through Scientific Collaboration

 

Coordination & Support Action (CSA)

Objective ICT-5-1.3

Project Nr. 257548

Duration: 24 months

Partners and teamsNTU Athens, Greece (coordinator)

J.Psarras, Y. Charalabidis, F. Lampathaki

Coventry University, UK

K. Popplewell

CNR-IASI, Italy

M. Missikoff

UNINOVA, Portugal

R.J. Goncalves,

INTRASOFT International, Luxemburg

A. Ramfos

Broader Audience (1000’s)

Validation

Community (75+)Experts Committee (15)

ENSEMBLE

Partners / Core

Team

ENSEMBLE 1st year tasks Run an international call for contributions on

Interoperability Scientific Base (state of the art & innovative scenaria), to get members in the Experts Committee, covering their fees for two years.

Map the FINES research projects and prepare material on the cluster

Monitor developments within and outside the FP7-ICT workprogramme

Prepare the Science Base “Wave 1”, on foundational principles and concepts

Work on the next version of the research roadmap for FINES cluster