Guy Doumeingts, Yves Ducq, David Chen IMS/LAPS/GRAI Université Bordeaux 1 FRANCE System Theory to support Enterprise Interoperability Science Base.

Slides:

Advertisements

Similar presentations

Ideal-types of Health Promotion Evaluation Practice Louise Potvin, PhD Université de Montréal III Saminario Brasileiro de Efetivivade da Promoçao da Saude.

Advertisements

SETTINGS AS COMPLEX ADAPTIVE SYSTEMS AN INTRODUCTION TO COMPLEXITY SCIENCE FOR HEALTH PROMOTION PROFESSIONALS Nastaran Keshavarz Mohammadi Don Nutbeam,

Looking sideways in the school curriculum Is there a case for linking d&t and science? David

Benchmarking Industry – Science Relationships Based on the OECD report, March 2002 Presented by: Inês Costa Vanessa Figueiredo.

Two Key ERP Principles Standardisation – Industry level – Firm level Centralisation – Cost saving – eg computing – Control over resources – Organisational.

INTRODUCTION TO MODELING

Session 8: Innovation and Change By: Jessica and Katie.

Rational Decision Making As A Unifying Paradigm In Cognitive Science, or Why Animal Are Rationals, And Why It's No Big Deal Benoit Hardy-Vallée, EHESS,

Critical realism Some essential features Anna Morvall, Tema T Critical realism.

Introduction to SOAR Based on “a gentle introduction to soar: an Architecture for Human Cognition” by Jill Fain Lehman, John Laird, Paul Rosenbloom. Presented.

Reference Architecture for Enterprise Integration CIMOSA GRAI/GIM PERA Dima Nazzal.

Enterprise Interoperability Basic Concepts and Definitions David Chen IMS-LAPS University Bordeaux 1 FRANCE.

CSCI 3 Introduction to Computer Science. CSCI 3 Course Description: –An overview of the fundamentals of computer science. Topics covered include number.

DESIGN CREATIVITY: REFINING THE MODEL DAVID C BROWN & ELIJAH FORBES-SUMMERS Computer Science Department WPI, Worcester, MA 01609, USA.

Effective Communication Skills; the Missing Link in Enhancing Employability of STEM Graduates By Sindiso Zhou & Nhlanhla Landa 2 nd National Science and.

Introduction to Communication Research

Systems Engineering Foundations of Software Systems Integration Peter Denno, Allison Barnard Feeney Manufacturing Engineering Laboratory National Institute.

Foundations This chapter lays down the fundamental ideas and choices on which our approach is based. First, it identifies the needs of architects in the.

Distinctions Between Computing Disciplines

Research Methodology Lecture 1.

Welcoming Gifted and Talented. About Mr. Messier HOFSTRA UNIVERSITY Elementary Ed/Psychology Masters Degree in MST (STEM) Science, Tech, Engineering,

Paradigms of Research.

Definitions Theory, concept, construct, proposition, empirical generalization, model, and conceptual models 20 April 2017.

Crosscutting Concepts and Disciplinary Core Ideas February24, 2012 Heidi Schweingruber Deputy Director, Board on Science Education, NRC/NAS.

An ontology of computing. What is an ontology? An ontology is a specification of a conceptualization. A specification of a representational vocabulary.

ICEE 2005GLIWICE, POLAND JULY 2005 FEDERAL CENTER OF TECHNOLOGICAL EDUCATION – CEFET-RJ – BRAZIL PRODUCTION ENGINEERING DEPARTMENT CSCW: A FORMATION.

1 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.

Computational Thinking The VT Community web site:

David Chen IMS-LAPS University Bordeaux 1, France

Enterprise Interoperability Basic Concepts, Definitions and Approaches

-Nikhil Bhatia 28 th October What is RUP? Central Elements of RUP Project Lifecycle Phases Six Engineering Disciplines Three Supporting Disciplines.

Man-Sze Li IC Focus Enterprise Interoperability Research Roadmap SME aspects.

Alignment of ATL and QVT © 2006 ATLAS Nantes Alignment of ATL and QVT Ivan Kurtev ATLAS group, INRIA & University of Nantes, France

Odyssey A Reuse Environment based on Domain Models Prepared By: Mahmud Gabareen Eliad Cohen.

Cohesive Design of Personalized Web Applications Presented by Yinghua Hu Schwabe, D. Mattos Guimaraes, R. Rossi, G. Pontificia Univ. Catolica do Rio de.

Chapter 1 INTRODUCTION TO MANAGEMENT AND ORGANIZATIONS © Prentice Hall,

The roots of innovation Future and Emerging Technologies (FET) Future and Emerging Technologies (FET) The roots of innovation Proactive initiative on:

1 CIM OSA CIMOSA Computer Integrated Manufacturing Open System Architecture 1 David CHEN IMS-LAPS, University Bordeaux 1.

Sociology Unit 1 Sociological Perspective Vocabulary.

Lecture 2 Design & theory. Design theory Just as designers produce design proposals design researches produce design theory. (Per Galle, 2011)

 What is Modeling What is Modeling  Why do we Model Why do we Model  Models in OMT Models in OMT  Principles of Modeling Principles of Modeling 

A Behavioral Science and Research Perspective. What Behavioral sciences do you think are involved to Organizational Behavior?

Nursing research Is a systematic inquiry into a subject that uses various approach quantitative and qualitative methods) to answer questions and solve.

Moscow Engineering Physics Institute Military Academy Moscow.

CSE 102 Introduction to Computer Engineering What is Computer Engineering?

Td-conference 2010 Implementation in Inter- and Transdisciplinary Research, Practice and Teaching University of Geneva, September 2010 Frédéric Darbellay.

Cognitive Science and Biomedical Informatics Department of Computer Sciences ALMAAREFA COLLEGES.

Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.

Towards a Reference Quality Model for Digital Libraries Maristella Agosti Nicola Ferro Edward A. Fox Marcos André Gonçalves Bárbara Lagoeiro Moreira.

Introduction to Psychology. What is Psychology? A Social Science (1 of the 7 social sciences) Rooted in the “Natural Sciences” (deal with the physical.

Florian A. Twaroch Institute for Geoinformation and Cartography, TU Vienna Naive Semantic Interoperability Florian A. Twaroch.

Click to edit Master title style Overview of the NGSS Framework.

The FDES revision process: progress so far, state of the art, the way forward United Nations Statistics Division.

A Brief Introduction to Psychology Goals of the science and how they are achieved.

Introducing Science. Victorian Curriculum F–10 Released in September 2015 as a central component of the Education State Provides a stable foundation for.

Introduction to ScienceSection 1 Section 1: The Nature of Science Preview Key Ideas Bellringer How Science Takes Place The Branches of Science Scientific.

An introduction to Science and Technology. What is Science? The goal of science is often to describe, explain, and predict relationships that occur naturally.

Introduction to ScienceSection 1 SCSh8 Students will understand important features of the process of scientific inquiry.

Science and Engineering Practices K–2 Condensed Practices3–5 Condensed Practices6–8 Condensed Practices9–12 Condensed Practices Developing and Using Models.

Informatics for Scientific Data Bio-informatics and Medical Informatics Week 9 Lecture notes INF 380E: Perspectives on Information.

Artificial Intelligence

Module 1: Overview of the Framework for K–12 Science Education

Object-Oriented Software Engineering Using UML, Patterns, and Java,

Research Methods in Computer Science

School of Information Management Nanjing University China

Introducing Science.

Key Ideas How do scientists explore the world?

Brokering as a Core Element of EarthCube’s Cyberinfrastructure

RESEARCH METHODS Lecture 4

Chin-Sheng Chen Florida International University

Presentation transcript:

Guy Doumeingts, Yves Ducq, David Chen IMS/LAPS/GRAI Université Bordeaux 1 FRANCE System Theory to support Enterprise Interoperability Science Base

INTRODUCTION Definition of Enterprise Interoperability “the ability of an Enterprise to interact with other Enterprises not only on an Information Technology point of view but also on organisational and semantic point of views. This interaction must be flexible and developed at the lower cost”. INTEROP-VLab ( The research at European level has started in 2000:”creation of an ad-hoc group”, then……….. Today: concepts, domain, problematic, some solutions.are proposed The scientific domain must be developed Analogy with Enterprise Modelling (EM) in 80ies: creation of a Science Base based on System Theory in which IMS/LAPS/GRAI has strongly contributed.

Contribution to Sciences Base in EI Two main scientific approaches:  Natural science : observe the real world phenomena in order to explain and understand  Artificial Science : engineering science to elaborate solutions to achieve a pre-defined engineering goal (control, design,…) Contribution to EI:  Natural science : observing the phenomena of non- interoperability and explain why systems are not interoperable  Science of artificial : elaborate repeatable and verifiable solutions to solve interoperability problems

WHY non-interoperability? ( on Natural Science) Because incompatibilities of various kinds Three kinds of barriers (dimension of interoperability)  conceptual, technological, organizational in four interoperability aspects (dimensions of interoperability concerns):  data, service, process, business. with three various ‘Interoperability Approaches’ : basic ways to remove barriers:  integrated, unified, federated Results of INTEROP NoE project

A Framework for solving EI problems concern barrier barriers concerns approaches SOLUTION SPACE PROBLEM SPACE Problems : Barriers x Concerns Solutions : Approaches x Barrier x Concerns Results of INTEROP-NoE Proposed to Standardization

System Theory (on Artificial Science) System Theory : Herbert Simon System Theory: application in various disciplines: biology, physics, economy, organisation, computer sciences, cybernetics….. Definition of a system: a set of elements in relation

System of Systems System theory aims to represent (to model) the realities of a, concretes or abstract system, describing the global (top down) and the local (bottom up) structure and their relations STRUCTURE EVOLUTION FUNCTIONS ENVIRONMENTENVIRONMENT STRUCTURE EVOLUTION FUNCTIONS ENVIRONMENTENVIRONMENT STRUCTURE EVOLUTION FUNCTIONS COMMON OBJECTIV ES ENVIRONMENTENVIRONMENT STRUCTURE EVOLUTION FUNCTIONS ENVIRONMENTENVIRONMENT

Contribution of System Theory build rigorous scientific foundation to interoperability development Allow to model the organisational interoperability To support the search of coherent solutions

Application: ATHENA project

GRAI Modellin Process (Global view)

GRAI Process modelling (detailed view)

GRAI decision model

Conclusions Science Base for Enterprise Interoperability is not a dream Natural Science contributes to define Solutions Space Artificial Science (System Theory) contributes to the search of solutions Education problem Cultural aspect in Industry