Semantic Web for E-Science and Education
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Semantic Web for E-Science and Education
Enrico MottaKnowledge Media Institute
The Open University, UK
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£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)
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WebOnto, ‘97
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Task ModelsSchedulingClassificationParametric Design…………..
Problem SolversSearch MethodsCase-based ReasonersHeuristic ClassificationPropose&Revise…………..
Domain ModelsGeneric Medical Ontology Medical Guidelines Pressure UlcerDinosaursOrganization………………..
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MyPlanet
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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
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What do scientists, educators and students do?
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What do scientists, educators and students do?
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What do scientists, educators and students do?
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What do scientists, educators and students do?
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SemWeb as Infrastructure for Knowledge Work
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There’s nothing new about global warming
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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
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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...
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Semantic Web Perspective on Digital Libraries
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Ontology for scholarly claims and relations
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The Claimaker tool
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From documents to concepts
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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?
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