kmr/kth contributions to prolearn wps 1/4/5 ambjörn naeve knowledge management research group...

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