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

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

Recent years: How should digital 3D data and multimedia information be represented so it will be readable X years from now? Virtual Prototype Analysis Conceptual Design Environment Traditional CAD (Knowledge-based CAD) QuickTime™ and a Cinepak decompressor are needed to see this picture. Engineering Specificatio ns Immersive CAD Case Studies Component Data Other Resource Data Version …. Revision Geometry Design Repository Rationale …. Design Evolution Database Production Planning Process Planning Client/User CHIST-ERA Conference, Cork Sept. 5-6, 2011

From collaborative CAD to the whole lifecycle! Huge number of information systems … Maintenance - ASS Quality Production Logistics Commercial ERP C.R.M. S.R.M. M.E.S. A.P.S. PDM/PLM Serious CAD C.F.D. C.A.E. IN.A.O. K.B.E. Games analysis Marketing Methods Quality assurance Industrialisation CHIST-ERA Conference, Cork Sept. 5-6, 2011

Data creation Data usage Product creation process Enterprise BOM Enterprise PDM CAE CAD CAP E/E/S CAD: Computer Aided Design E/E/S: Electrics/Electronics/Software CAE: Computer Aided Engineering CAP: Computer Aided Planning CHIST-ERA Conference, Cork Sept. 5-6, 2011 BOM: Bill of Material

Problems with level of formalisms exist Ad hoc XML Description Hierarchies Schem Logics Structured (Yahoo!) a Formal Glossaries (DAML+OIL Taxonomies ) XML DTDs Terms Thesauri Data Models ‘Ordinary’ Principled, informal (UML, STEP) Glossaries hierarchies Data Frames Dictionaries DB (OKBC) (EDI) Schema Glossaries & Thesauri, MetaData, Formal Data Taxonomies XML Ontologies & Dictionaries Schemas, & Inference Ack: M. Grunninger Data Models 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 CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011 7

functionalities for long term digital preservation are currently being proposed 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 9/6/2011 8

High level recommendations for “Open Archival Information System” (OAIS) framework exist Preservation Planning C O P Data N R Management S O Descriptive queries U Info. D result sets M SIP Ingest Access U orders Archival E Storage C DIP R E AIP R Administration SIP = Submission Information Package MANAGEMENT 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 Task 2 Task 3 Task 1 KM tools Digital Tasks, processes preservation Organisation (structure, LTKR history, reputation…) Documentation and models (products history, Systems web annotations, browsing information…) Requirements out of existing digital preservation tools: - Standards for archival system - Knowledge transmutation (dynamic features) Ex. of current initiatives: LOTAR (STEP) - Agility in scope of long term for 3D engineering data preservation 10 CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011

ii) future trends CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011 11

Build multi-layer architectures matching preservation functionalities Mediation layer: system connection and knowledge transfer Knowledge Integration System Connection Data Transfer Product, process Knowledge in organization knowledge Information Package form Knowledge Management Approach SIP DIP Data Preservation Planning Data Des.Info. Des.Info. Data Management Ingest Access Data Data Archival … AIP Storage AIP Administration Digital preservation platform: Information systems in enterprise an extended OAIS used in product lifecycle CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011 12

Build mechanisms for knowledge evolution – 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) 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) CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011 13

i) Priorities for the call CHIST-ERA Conference, Cork Sept. 5-6, 2011 9/6/2011 14

• 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 9/6/2011 15

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