CHIST-ERA Conference, Cork Sept. 5-6, 2011

Long Term Knowledge Retention and Preservation

Aziz Bouras

University of Lyon, DISP Laboratory

France

abdelaziz.bouras@univ-lyon2.fr

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Analysis Virtual Prototype

Environment

Production Planning Process Planning

Client/User

Engineering

Specificatio

ns

Immersive

CAD

Traditional CAD

Design Evolution Database

Version

Revision

Geometry

Rationale

….

Design Repository

Case Studies

Component Data

Other Resource Data

….

Conceptual Design

(Knowledge-based CAD)

QuickTime™ and aCinepak decompressor

are needed to see this picture.

Recent years: How should digital 3D data and multimedia information be represented so it will be readable X years from

now?

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Maintenance - ASS Commercial Production Logistics Quality

ERP

K.B.E. C.F.D.

C.R.M. S.R.M. A.P.S. M.E.S.

CAD Serious

Games C.A.E. IN.A.O.

PDM/PLM

Marketing Methods Industrialisation Quality assurance analysis

From collaborative CAD to the whole lifecycle! Huge number of information systems…

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Product creation process

Data creation Data usage

E/E/S

Enterprise BOM

Enterprise PDM

CAP

CAE

CAD: Computer Aided Design

E/E/S: Electrics/Electronics/Software

CAE: Computer Aided Engineering

CAP: Computer Aided Planning

BOM: Bill of Material

CAD

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Problems with level of formalisms exist

Terms Thesauri

Formal

Taxonomies

Frames

(OKBC)

Data Models

(UML, STEP)

Description

Logics

(DAML+OIL

)

Principled,

informal

hierarchies

Ad hoc

Hierarchies

(Yahoo!) Structured

Glossaries

XML DTDs

Data

Dictionaries

(EDI)

‘Ordinary’

Glossaries

XML

Schem

a

DB

Schema

Glossaries &

Data

Dictionaries

MetaData,

XML

Schemas, &

Data Models

Formal

Ontologies &

Inference

Thesauri,

Taxonomies

Ack: M. Grunninger

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Knowledge Preservation Context

• Why worry about long term knowledge preservation? – Product lifecycles can be much longer than lifecycles for computing

hardware, applications, storage media

– Enterprise domain-applications are becoming massive data and information-based

– European Commission and governments are imposing very strict preservation regulations (90years for aerospace, 20years for automotive…)

• Challenges

– Knowledge identification and extraction from huge heterogeneous warehouses and multimedia documents

– Future extensibility and reusability of digital preservation models

– Knowledge lifecycle assessment

– Interoperability of digital preservation platforms

CHIST-ERA Conference, Cork Sept. 5-6, 2011

i) today’s starting point

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CHIST-ERA Conference, Cork Sept. 5-6, 2011

functionalities for long term digital preservation are currently being proposed

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Interaction between research clusters (GOSPI, NIST MEL) with industrial

associations and big companies in US and EU: NIST(Nasa, Boeing, Ford, Nara,

Darpa), MICADO(Airbus, Renault, Volvo), ENE (SMEs)

CHIST-ERA Conference, Cork Sept. 5-6, 2011

High level recommendations for “Open Archival Information System” (OAIS) framework exist

SIP = Submission Information Package

SIP

DIP

Administration

P R O D U C E R

C O N S U M E R

queries

result sets

MANAGEMENT

Ingest Access

Data Management

Archival Storage

Descriptive Info.

Preservation Planning

orders

AIP

AIP = Archival Information Package

DIP = Dissemination Information Package

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Gaps exist between long term preservation requirements and existing technologies

KM approaches

KM tools

Digital preservation

LTKR

Requirements out of existing digital preservation tools:

- Standards for archival system - Knowledge transmutation (dynamic features) - Agility in scope of long term

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Organisation

(structure,

history,

reputation…)

Task 1

Task 2 Task 3

Tasks, processes

Documentation

and models (products history,

web annotations,

browsing information…)

Systems

Ex. of current initiatives: LOTAR (STEP)

for 3D engineering data preservation

CHIST-ERA Conference, Cork Sept. 5-6, 2011

ii) future trends

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CHIST-ERA Conference, Cork Sept. 5-6, 2011

Build multi-layer architectures matching preservation functionalities

… Administration

Preservation Planning

Ingest Access Archival Storage

Data Management

AIP

SIP

AIP

DIP

Des.Info. Des.Info.

Digital preservation platform: an extended OAIS

Information systems in enterprise used in product lifecycle

Data

Data Data

Product, process organization knowledge

Knowledge Management Approach

Data

Knowledge Integration System Connection Data Transfer

Knowledge in Information Package form

Mediation layer: system connection and knowledge transfer

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CHIST-ERA Conference, Cork Sept. 5-6, 2011

Build mechanisms for knowledge evolution

Context: knowledge identification ( Knowledge in enterprise, PPO model concept)

Concept: knowledge integration for preservation (Knowledge model, OAIS concept)

Design: architecture of KM (business view), service of KM (functional view)

Implementation: digital preservation platform and connections (application/technical view)

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– Build specific approaches and tools to regularly update the preserved knowledge (annotations, abstraction…)

– Test OAIS mechanisms and concepts (high level recommandations)

– Capture current corporate organization structure and strategy (formal information and internet)

CHIST-ERA Conference, Cork Sept. 5-6, 2011

i) Priorities for the call

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CHIST-ERA Conference, Cork Sept. 5-6, 2011

• From digital preservation perspective – Analyse existing methodologies, standards and platforms for

Knowledge Preservation as well as their capabilities to support the evolution of preserved knowledge

– Develop new programming models and scripts for knowledge extraction that hide the complexity of the product lifecycle underlying systems

– Provide new flexible approaches that allow users to extend existing functionalities to meet a variety of preservation requirements

– Analyse new massive data storage solutions such as cloud-scale services

– Analyse the impact on the current knowledge management approaches and possible re-engineering of current PLM/SCM systems (how the ontologies, metadata standards and registries developed today will be able to navigate the data warehouses of tomorrow)

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CHIST-ERA Conference, Cork Sept. 5-6, 2011

• Form an enterprise perspective – Identify generic requirements in terms of knowledge retention and

archiving and propose application scenarios (through business processes identification)

– Define a pattern prototype for a knowledge preservation platform based on both structured information (Enterprise Information System) and non-structured information (data warehouse repositories, heterogeneous internet multimedia documents)

– Develop distributed data storage and processing systems on large clusters of shared commodity servers

CHIST-ERA Conference, Cork Sept. 5-6, 2011

Thank you for your attention!…

Contact:

abdelaziz.bouras@univ-lyon2.fr

+33 678 940 861