Long Term Knowledge Retention and Preservation Aziz Bouras - - PowerPoint PPT Presentation

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 a Cinepak 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

• rders

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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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

• rganization 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