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The solution of ICT technology for archival data bases A Knowledge Management Perspective

The solution of ICT technology for archival data bases A Knowledge Management Perspective. Dr. Witold Staniszkis Rodan Systems S.A. The IST ICONS Project. Presentation Contents. Selected reference models ICT strategies for electronic records and archives

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The solution of ICT technology for archival data bases A Knowledge Management Perspective

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  1. The solution of ICT technology for archival data basesA Knowledge Management Perspective Dr. Witold Staniszkis Rodan Systems S.A. The IST ICONS Project

  2. Presentation Contents • Selected reference models • ICT strategies for electronic records and archives • Knowledge management from an IT vantage point • Domain Ontologies • Knowledge representation paradigms • Document repository structures • Procedural knowledge representation • Conclusions

  3. Standards and Model Requirements • IDA – Interchange of data between administrations (EC) • MIReG – Managing information resources for e-Government (EC) • Resource description elements • Life-cycle elements • Intellectual property elements • Open Archives Forum – interoperability and access in archive systems (IST research) • OAIS – open archival information system (NARA – USA) • The knowledge-information-data hierarchy • ISO 15489 – creation, capture and management of organizational records • MoReq - ERMS requirements for public and private sector organizations • DOMEA – record management in public sector (Germany)

  4. Content Management in e-Government Knowledge Management Systems Functionality Corporate Portals Content Management Document Management Workflow Management Groupware 80-te 90-te 2001 - Years

  5. ICT strategies for electronic records and archives Issues Preservation Access Interpretation System Emulation Standard Structure Finding Aids Digital Objects Ontologies Relationships Internal External

  6. Knowledge Management from the IT vantage point

  7. About ICONS • Rodan Systems S.A. - project coordinator • Partnerzy: • Dauphine University, Paris , France • University of Ulster, Jordanstown, United Kingdom • Centro Informazioni Economiche e Sociali (CIES), Italy • SchlumbergerSema, Belgium • Computer Science Institute, ThePolish Academy of Sciences • InfoVide, Poland • Budget: > 3 million EURO • Duration: 24 months, 350 man/months Other IST Project Participation INFOMIX Intelligent tools for integration of information resources COMPONENT+ Methodology and tools for testing software components

  8. Knowledge base Domain ontology (declarative knowledge, procedural knowledge) Content management (first generation) Knowledge management (second generation) Document Management Groupwork Knowledge Processes Knowledge Lifecycle Intelligent Organisation Full text retrieval Image Processing Knowledge Creation Knowledge Validation Knowledge Integration Supporting innovative (knowledge) processes Dissemination of existing knowledge Content base (facts)

  9. Knowledge Management Life Cycle Knowledge Production Knowledge Validation Knowledge Integration Knowledge Claims Organizational Knowledge • Individual and group interaction • Data/Info acquisition • New knowledge claims • Initial knowledge codification • Knowledge claim peer review • Application of validation criteria • Weighting of value in practice • Formal knowledge codification • Knowledge sharing and transfer • Teaching and training • Operationalizing new knowledge • Production of knowledge artifacts Experiental feedback loop Knowledge Management Consortium International 2001

  10. ICONS Meta-information Definition, Maintenance Creation, Modification, Selection, Navigation, Execution Knowledge Manipulation Functions The ICONS Knowledge Schema Objects Associations Field Values Files Tables Documents Reports Data Queries Navigation ICONS Repository Management Functions ICONS Content Repository The ICONS Semantic Index Distributed Queries Extracted Data ICONS Workflow Management Control Structures Information Integration Functions Web pages External Databases ICONS External Data Sources Data Control

  11. Domain Ontologies

  12. Ontology Representation • Scope: • Language • Domain • Concept relationships: • has-synonym, • has-homonym, • has-broader-term • has-narrower-term • has-superclass, • has-subclass, • is-instace-of, • has-related-term Concept • Appears in: • Article • Website • Document • email Definition Description Example

  13. The Public Information Bulletin Ontology

  14. Ontology based categorization

  15. Knowledge representation paradigms

  16. Structural Knowledge Knowledge Schema Procedural Knowledge UML Semantic Model Knowledge Map (Categorisation) Model Content Object Structure WfMC Process Graph Project Plan CPM Model Routing conditions Work Assignment Conditions Value-based Categorisation Manual Categorisation Process Time Modelling Automatic Text Categorisation Declarative Knowledge Index Categorisation Collection Object Categorisation Concept Glossary Data Extraction Models Inferential Methods Concept Definitions Concept Relationships Logic Rules Probabilistic Rules

  17. Declarative knowledge • Support in solving difficult tasks • Disjunctive Datalog rules • Easy validation • Efficiency issues (application of main memory databases) col(X,red) or col(X,green) or col(X,blue) :-state(X) :- border(X,Y), col(X,C), col(Y,C)

  18. A Content Object Structure Content Object Subtree Content Object Subtree B Content Object Subtree Content Object Subtree Content Object Subtree Content Object Subtree Content Object Subtree Content Object Subtree C Content Object Subtree A Content Object Subtree D Content Object Structure Content Object Structure Content Object Structure A Content Object Structure CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Field Item CO Materialised Table Field CO File Item Scalar value field Vector field Text field

  19. Knowledge access Full text search Attribute based search Navigational search Categoristaion based (knowledge maps) Content Repository Link based I I I I I I I I I I

  20. Structural knowledge navigation

  21. Procedural Knowledge Representation A new challenge in electronic record management

  22. Workflow management Users Rola Rola Rola Rola Rola Role Role Processes Organizations

  23. Procedural Knowledge Road Map • BPMN - Business Process Modelling Notation, BPMI, 11.02 • XPDL - XML Process Definition Language, WfMC, 07.02 • Wf-XML - Workflow Interoperability Binding, WfMC, 11.01

  24. BPMN and XPDL extensions • BPMN extension (BPMN+) • idea - standard well-known notation for both process definition adjusted to the needs for process instance • ICONS’ approach - a BPMN extension to visualise process execution • XPDL extension (XPDL+) • performer relationships (WPA) • pre & post conditions

  25. A process definition graph

  26. A process execution graph

  27. Conclusions • IT contribution to archives is not simply the digital conversions and storage • Knowledge management an important discipline for archive and electronic record management • Procedural knowledge represents a new dimension of archive resources • Cross-fertilization between KM and Archive Management fields may bring important results

  28. Thank you for your attention Witold.Staniszkis @rodan.pl www.icons.rodan.pl

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