Top Banner
Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK
35

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

Dec 22, 2015

Download

Documents

Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

Semantic Web for E-Science and Education

Enrico MottaKnowledge Media Institute

The Open University, UK

Page 2: Semantic Web for E-Science and Education Enrico Motta Knowledge 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)

Page 3: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

WebOnto, ‘97

Page 4: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 5: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 6: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 7: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 8: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

Task ModelsSchedulingClassificationParametric Design…………..

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

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

Page 9: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 10: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 11: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 12: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 13: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

MyPlanet

Page 14: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 15: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

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

Page 16: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

What do scientists, educators and students do?

Page 17: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

What do scientists, educators and students do?

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

Page 18: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

What do scientists, educators and students do?

Page 19: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

What do scientists, educators and students do?

Page 20: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

SemWeb as Infrastructure for Knowledge Work

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

Page 21: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 22: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.
Page 23: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

There’s nothing new about global warming

Page 24: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

Palaeo-leaves

Page 25: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

Image Database

Page 26: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

<Solution rdf:ID=”class21"> <rdfs:comment>

<Solution rdf:ID=”class21"> <rdfs:comment>

Image Database

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

Page 27: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

<Solution rdf:ID=”class21"> <rdfs:comment>

<Solution rdf:ID=”class21"> <rdfs:comment>

Image Database

<Fossil_Leaf rdf:ID="fl1324"> <rdfs:comment>

Page 28: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

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

Page 29: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

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...

Page 30: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

Semantic Web Perspective on Digital Libraries

Page 31: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

Ontology for scholarly claims and relations

Page 32: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

The Claimaker tool

Page 33: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

From documents to concepts

Page 34: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.

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?

Page 35: Semantic Web for E-Science and Education Enrico Motta Knowledge Media Institute The Open University, UK.