kmr/kth contributions to prolearn wps 1/4/5 ambjörn naeve knowledge management research group...
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KMR/KTH contributionsto Prolearn WPs 1/4/5
Ambjörn Naeve
Knowledge Management Research groupCentre for user-oriented IT Design
Royal Institute of Technology
http:// kmr.nada.kth.se
WP1/4/5 meeting Fraunhofer Institute 29/4-2004
RDF SemanticMachine
Human
Syntactic
Presentational
Web
UML
HTML
XML
GPSMAM
Five different web layers
Ambient
ConceptualWeb
SemanticWeb
Application Developers
End-Users
SCAMSHAMEEdutella
KnowledgeManifold
Conzilla concept browserEduFolio concept portfolio
EduFolioSCAM providerSHAMEditorSHAMEditorEditorSHAME consumerVWE composer
ToolsFrameworksArchitectureInfrastructure
D1
Producer
Consumer
Traditional
Semantic web
Dedicated
Integrated
Stand-alone
Web SHAMEconsumer
SCAMproducer
EduFolio
SHAME consumer
wrap
mediate
D2 Dn
AMOS
Today’s demo
Edutella
SEARCH SEARCH
SwedishUR
DigitalMediaLibrary
IMCClix?
EducaNext Ariadne?
Edutella Peer-2-Peer
Network WU WienContinuing
Education Centre
SwedishMuseumWindow
SwedishScience &
Technology Hub
www.prolearn-project.org
SCAM producer
AMOS mediator
SHAMEconsumer
Workpackage 5
EduFolio
Edutella
EduFolio
Media-library
Museum- window
Culture- portal
Science &Technology hub
Uppsalauniversity library
User type:
School type:
Opinions:
Teacher
High school
TEACHER STUDENT
User type:
School type:
Opinions:
Student
High school
Program-ID: Count with us
Course: Mathematics A
SEARCH
ANNOTATE
SEARCH
ANNOTATE
SEARCH
ANNOTATE
Program-ID: Count with us
SwedishLearningLandscape
User type:
School type:
Opinions:
Teacher
High school
Seven different Knowledge Roles in a KM• Knowledge Cartographer
• Knowledge Composer
• Knowledge Librarian
• Knowledge Coach
• Knowledge Preacher
• Knowledge Plummer
• Knowledge Mentor
• constructs context-maps.
• fills context-maps with content-components.
• combines content-components into learning modules.
• cultivates questions.
• provides live answers.
• connects questions to relevant preachers.
• supplies motivation and supports self reflection.
Our semantic knowledge-tools(connecting human- and machine-semantics)
• SCAM (Standardized Contextualized Access to Metadata) A framework for supporting storage of and access to metadata on the semantic web.
• SHAME(Standardized Hyper-Adaptable Metadata Editor)A framework for constructing flexible metadata editors that support evolving annotation processes.
• Edutella A p2p-based infrastructure for search and exchange of metadata about resources on the semantic web.
• EduFolioA personal resource and annotation portfolio.
• ConzillaA concept browser for the exploration of the human-semantic web with machine-semantic back-end functionality.
• VWE (Virtual Workspace Environment)A composer tool for the construction of customized learning modules.
All these frameworks and tools are open source and based on open international ICT-standards.
Our semantic knowledge-tools (cont.)
Present Desired General Special
Specific
DomainLearning profile Learning object
Learning style
DescriptionCompetence
Matching
Composition
Courselets
PersonalizedPAeLLA• Uppsala Learning Lab• CID / KTH• L3S• Ericsson• Meta4
Conzilla’s query interface to Edutella
Searching and streaming in the DML