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

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Presentation on theme: "Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK."— Presentation transcript:

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

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

3 WebOnto, ‘97

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

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13 MyPlanet

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15 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

16 What do scientists, educators and students do?

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18 What do scientists, educators and students do?

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20 SemWeb as Infrastructure for Knowledge Work

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23 There’s nothing new about global warming

24 Palaeo- leaves

25 Image Database

26 Image Database

27 Image Database

28 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

29 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...

30 Semantic Web Perspective on Digital Libraries

31 Ontology for scholarly claims and relations

32 The Claimaker tool

33 From documents to concepts

34 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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