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Semantic Web for E-Science and Education

Semantic Web for E-Science and Education. Enrico Motta Knowledge Media Institute The Open University, UK. DG Research Councils. E-Science Steering Committee. Director. Director’s Management Role. Director’s Awareness and Co-ordination Role. Generic Challenges

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Semantic Web for E-Science and Education

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  1. Semantic Web for E-Science and Education Enrico Motta Knowledge Media InstituteThe Open University, UK

  2. DG Research Councils E-Science Steering Committee Director Director’s Management Role Director’s Awareness and Co-ordination Role Generic Challenges EPSRC (£15m), DTI (£15m) Academic Application Support Programme Research Councils (£74m), DTI (£5m) PPARC (£26m) BBSRC (£8m) MRC (£8m) NERC (£7m) ESRC (£3m) EPSRC (£17m) CLRC (£5m) £120m for collaborative projects Industrial Collaboration (£40m)

  3. WebOnto, ‘97

  4. Task Models Problem Solvers Scheduling Classification Parametric Design ………….. Search Methods Case-based Reasoners Heuristic Classification Propose&Revise ………….. Domain Models Generic Medical Ontology Medical Guidelines Pressure Ulcer Dinosaurs Organization ………………..

  5. MyPlanet

  6. 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

  7. What do scientists, educators and students do?

  8. <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment> What do scientists, educators and students do?

  9. What do scientists, educators and students do?

  10. What do scientists, educators and students do?

  11. <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment> SemWeb as Infrastructure for Knowledge Work

  12. There’s nothing new about global warming

  13. Palaeo-leaves

  14. <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment> Image Database <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

  15. <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment> <Solution rdf:ID=”class21"> <rdfs:comment> Image Database <Solution rdf:ID=”class21"> <rdfs:comment>

  16. <Solution rdf:ID=”class21"> <rdfs:comment> Image Database <Solution rdf:ID=”class21"> <rdfs:comment> <Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

  17. 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

  18. 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...

  19. Semantic Web Perspective on Digital Libraries

  20. Ontology for scholarly claims and relations

  21. The Claimaker tool

  22. From documents to concepts

  23. 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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