Long Term Knowledge Retention and Preservation

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

Long Term Knowledge Retention and

Preservation

Aziz Bouras

University of Lyon, DISP Laboratory France

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 a Cinepak decompressor are neede d to see this picture.

Recent years: How should digital 3D data and multimedia

information be represented so it will be readable X years from

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

Maintenance - ASS

Commercial Logistics Production Quality

ERP

K.B.E.

C.F.D.

CAD

Serious

Games

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

PDM/PLM

Marketing Methods analysis Industrialisation Quality assurance

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

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

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

i) today’s starting point

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

functionalities for long term digital preservation are

currently being proposed

9/6/2011 8

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

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

9/6/2011 10 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

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

Build multi-layer architectures matching preservation

functionalities

…

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

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)

9/6/2011 13

– 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

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

i) Priorities for the call

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)

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:

[email protected]