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KNOWLEDGE DICHOTOMY AND SEMANTIC KNOWLEDGE MANAGEMENT: 

KNOWLEDGE DICHOTOMY AND SEMANTIC KNOWLEDGE MANAGEMENT Jiehan Zhou Technical Research Centre of Finland Kaitoväylä 1, 90571 Oulu, Finland Email: jiehan.zhou@vtt.fi

Outline: 

1. Introduction 2. Notions 4. Knowledge solidification modes 3. Computer-based KM 5. Semantic KM requirements Semantic KM 6.Semantic KM and Case study Outline

Introduction: 

Introduction Modern knowledge-intensive businesses Multi-disciplinary Decision-making Implementation Multi-culture Semantic knowledge management

Notions: 

Notions Data, information and knowledge Knowledge in context and dichotomy Ontology Knowledge management and its objectives Knowledge standardization and instantiation Semantic KM

Computer-based KM: 

Computer-based KM General KM model Nonaka's knowledge conversion model Knowledge dichotomy and Nonaka's KM model transcription Computer-aided KM Matters in computer-aided KM

General KM model: 

General KM model

Nonaka and Takeuk 's knowledge conversion mechanisms : 

Nonaka and Takeuk 's knowledge conversion mechanisms

Knowledge dichotomy: 

Knowledge dichotomy Standardization Instantiation Evolution Evolution

Computer-aided KM and standardization and instantiation: 

Computer-aided KM and standardization and instantiation People to people People to computer Computer to computer Computer to people

Matters in computer-aided KM: 

Matters in computer-aided KM Partly freeing human from mental work Enlarging the scope of knowledge reusing and sharing Reducing knowledge management costs Unifying knowledge processing

Knowledge solidification modes: 

Knowledge solidification modes

Requirements on Semantic KM: 

Requirements on Semantic KM Knowledge sharing and reusing Knowledge types Knowledge quality Knowledge cost Knowledge timeliness Knowledge unification

A common Semantic KMS: 

A common Semantic KMS

Case study - System model: 

Case study - System model

Case study: -knowledge standardization: 

Case study: -knowledge standardization

Case study: -Knowledge instantiation: 

Case study: -Knowledge instantiation andlt;!-- DEFINITION OF THE CLASSES AND SUB CLASSES --andgt; andlt;rdfs:Class rdf:ID='Entity'andgt; andlt;rdfs:label xml:lang='en'andgt;Entityandlt;/rdfs:labelandgt; andlt;rdfs:comment xml:lang='en'andgt;Root of the classesandlt;/rdfs:commentandgt; andlt;/rdfs:Classandgt; andlt;rdfs:Class rdf:ID='Manufacturing'andgt; andlt;rdfs:subClassOf rdf:resource='#Entity'/andgt; andlt;rdfs:label xml:lang='en'andgt;Manufacturingandlt;/rdfs:labelandgt; andlt;rdfs:comment xml:lang='en'andgt;the process of producing economic goods, including tangible goods and intangible services from resources of production, thus creating utility by increasing value added.andlt;/rdfs:commentandgt; andlt;/rdfs:Classandgt; andlt;rdfs:Class rdf:ID='ManufacturingMarket'andgt; andlt;rdfs:subClassOf rdf:resource='#Manufacturing'/andgt; andlt;rdfs:label xml:lang='en'andgt;manufacturing marketandlt;/rdfs:labelandgt; andlt;rdfs:comment xml:lang='en'andgt;manufacturing marketandlt;/rdfs:commentandgt; andlt;/rdfs:Classandgt; andlt;rdfs:Class rdf:ID='IntegratedManufacturingManagementSystem'andgt; andlt;rdfs:subClassOf rdf:resource='#Manufacturing'/andgt; andlt;rdfs:label xml:lang='en'andgt;integrated manufacturing management systemandlt;/rdfs:labelandgt; andlt;rdfs:comment xml:lang='en'andgt;andlt;/rdfs:commentandgt; andlt;/rdfs:Classandgt; …..

Case study:-Knowledge query: 

Case study: -Knowledge query

Conclusion and discussion: 

Conclusion and discussion Knowledge-intensive business and semantic KM Fundamentals on KM Knowledge dichotomy and semantic KM Automation knowledge standardization and instantiation

Slide19: 

Thanks and Questions