Semantic Web for E-Science and Education

Enrico MottaKnowledge Media Institute

The Open University, UK

£120m for collaborative projects

E-ScienceSteering

Committee

DG Research Councils

Director Director’s

Management RoleDirector’s

Awareness and Co-ordination Role

Generic Challenges EPSRC (£15m), DTI (£15m)

Industrial Collaboration (£40m)

Academic Application SupportProgramme

Research Councils (£74m), DTI (£5m)

PPARC (£26m) BBSRC (£8m) MRC (£8m) NERC (£7m) ESRC (£3m) EPSRC (£17m) CLRC (£5m)

WebOnto, ‘97

Task ModelsSchedulingClassificationParametric Design…………..

Problem SolversSearch MethodsCase-based ReasonersHeuristic ClassificationPropose&Revise…………..

Domain ModelsGeneric Medical Ontology Medical Guidelines Pressure UlcerDinosaursOrganization………………..

MyPlanet

Main Aspects

• Intg. of knowledge, web, agent and language technologies

• “Grounded Research”• Ubiquitous use of ontologies• Support for various types of

knowledge-intensive activities– Publishing– Semantic search/Retrieval– Acquisition & Modelling– Reuse (application development by reuse)– Personalization

What do scientists, educators and students do?

What do scientists, educators and students do?

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What do scientists, educators and students do?

What do scientists, educators and students do?

SemWeb as Infrastructure for Knowledge Work

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There’s nothing new about global warming

Palaeo-leaves

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Image Database

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Image Database

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Image Database

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Required Components

• ‘Static’ Semantic Resources– PaleoBotany Ontologies– Task Ontologies for Classification & Image Analysis– Image DBs with semantic markup– Mapping Ontologies

• Problem Solving Services– Brokers– Image Analysis Services– Heuristic Classification Services– Mapping Services

• Next Generation Digital Library– ontology aware– handles logical queries– supports scholarly interpretation task

Ubiquitous “Smart” Technology

• Smart publishing, knowledge sharing• Smart access to digital libraries• Intelligent Services available online• Ontology-driven Personalization

Services• “Automated Enrichment”

– Incidental Knowledge Acquisition• “Smart Buttons” intg. with authoring tools

– Smart Indexing• Email management

– Email annotated in terms of events, people, orgs...

– Agents monitor and record actions, such as building a record of email discussion...

Semantic Web Perspective on Digital Libraries

Ontology for scholarly claims and relations

The Claimaker tool

From documents to concepts

Some Interesting Implications.....

• Conceptual Network itself becomes the focus of discourse– we go beyond markup.....

• Either (or both)– New forms of literacy emerge (???)– Knowledge Capture Technologies become crucial

• Hybrid Communities emerge– Software agents contribute to the dialectic of a

scientific or scholarly community

• New models of web interfaces are needed– What meaning the “Back” button will take?– What is a bookmark in a conceptual network?