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Semantic Grid

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... given well-defined meaning, better enabling computers and people to work in cooperation ... between Museums and Indigenous Communities Ronald Schroeter ... – PowerPoint PPT presentation

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Title: Semantic Grid


1
David De Roure www.semanticgrid.org
2
So what is the Semantic Grid?
  • The Semantic Grid is an extension of the current
    Grid in which information and services are given
    well-defined meaning, better enabling computers
    and people to work in cooperation
  • The full richness of the Grid ambition depends
    upon realizing the Semantic Grid
  • This talk tells the story of the Semantic Grid
    and highlights some of the projects

3
Vision e-Science
  • e-Science is about global collaboration in key
    areas of science and the next generation of
    computing infrastructure that will enable it
  • e-Science will change the dynamic of the way
    science is undertaken

John Taylor, Director General of UK Research
Councils
4
Vision e-Research
  • Researchers working in all disciplines are faced
    daily with a wide variety of tasks necessary to
    sustain and progress their research activity
  • These involve the analytical aspects of their
    work, access to resources, collaboration with
    fellow researchers, and project management and
    admin
  • These tasks rapidly increase in scale and
    complexity as collaborations grow larger, become
    more geographically distributed and involve a
    wider range of disciplines
  • JISC
  • Not just new Science
  • e-Social Science
  • e-Humanities
  • e-Arts
  • e-Research
  • e-Business
  • e-Anything
  • And new disciplines!

5
Two infrastructure enablers
Grid Computing
Semantic Web
  • On demand transparently constructed
    multi-organisational federations of distributed
    services
  • Distributed computing middleware
  • Computational Integration
  • An automatically processable, machine
    understandable web
  • Distributed knowledge and information management
  • Information integration

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Origins of the Semantic Web
  • The Semantic Web is an extension of the current
    Web in which information is given a well-defined
    meaning, better enabling computers and people to
    work in cooperation.
  • It is the idea of having data on the Web defined
    and linked in a way that it can be used for more
    effective discovery, automation, integration and
    reuse across various applications.
  • The Web can reach its full potential if it
    becomes a place where data can be processed by
    automated tools as well as people.
  • W3C Activity Statement

8
Layers of Languages
Attribution
Explanation
You are here
Rules Inference
Ontologies
Metadata annotations
Standard Syntax
Identity
9
Making Knowledge Explicit
Ontology Inference Layer
DAML
OIL
RDF
DAMLOIL
All influenced by RDF
OWL Lite (thesaurus) OWL DL (reason-able) OWL
Full (anything goes)
OWL
OWL Web Ontology Language
RDF Resource Description Framework
10
Grid Services
11
Knowledge Grid
12
Underpinnings of e-Science
13
The Semantic Grid Report 2001
  • At this time, there are a number of grid
    applications being developed and there is a whole
    raft of computer technologies that provide
    fragments of the necessary functionality.
  • However there is currently a major gap between
    these endeavours and the vision of e-Science in
    which there is a high degree of easy-to-use and
    seamless automation and in which there are
    flexible collaborations and computations on a
    global scale.
  • www.semanticgrid.org

14
Building bridges
15
Semantic Grid
SemanticWeb
SemanticGrid
Scale of Interoperability
ClassicalWeb
ClassicalGrid
Scale of data and computation
Based on an idea by Norman Paton
16
GGF Semantic Grid Research Group
Workshops at GGF 9 11 Tutorial at GGF12 GGF11
included
  • Using the Semantic Grid to Build Bridges between
    Museums and Indigenous Communities Ronald
    Schroeter
  • Collaborative Tools in the Semantic Grid David De
    Roure
  • The Integration of Peer-to-peer and the Grid to
    Support Scientific Collaboration
  • OWL-Based Resource Discovery for Inter-Cluster
    Resource Borrowing Hideki YOSHIDA
  • Semantic Annotation of Computational Components
    Peter Vanderbilt
  • Interoperability and Transformability through
    Semantic Annotation of a Job Description Language
    Jeffrey Hau
  • Engineering semantics Costs and Benefits Simon
    Cox
  • Designing Ontologies and Distributed Resource
    Discovery Services for an Earthquake Simulation
    Grid Marlon Pierce
  • Exploring Williams-Beuren Syndrome Using myGrid
    Carole Goble
  • Distributed Data Management and Integration
    Framework The Mobius Project Shannon Hastings
  • eBank UK - Linking Research Data, Scholarly
    Communication and Learning David De Roure

17
Semantics in e-Science - myGrid
Ontology-aided workflow construction
  • RDF-based service and data registries
  • RDF-based metadata for experimental components
  • RDF-based provenance graphs
  • OWL based controlled vocabularies for database
    content
  • OWL based integration

RDF-based semantic mark up of results, logs,
notes, data entries
18
Comb-e-Chem
Video
Simulation
Properties
Analysis
StructuresDatabase
Diffractometer
X-Raye-Lab
Propertiese-Lab
Grid
19
eBank
Undergraduate Students
Digital Library
Graduate Students
E-Scientists
E-Scientists
E-Scientists
Grid
Entire E-Science CycleEncompassing
experimentation, analysis, publication, research,
learning
E-Experimentation
20
CombeChem Smart Tea
www.smarttea.org
21
Collaboration tools
awareness ofcolleagues presence
BuddySpace
Access Grid Node
virtual meetings
mapping real time discussions/group sensemaking
NetMeeting
recovering information from meetings
enacting decisions/coordinating activities
synthesising artifacts
I-X Tools

22
NASA Scenario
1. Astronauts debrief on EVA
Compendium maps from trained compendium astronaut
Remote Science Team (RST) on earth e.g. geologists
Video and Science Data
Mars
Plan for next Days EVA
2. Virtual meeting of RST using CoAKTinG tools
23
Engineering Design
24
Agents for Virtual Orgs
Agent
Interactions
Organisational relationships
Environment
Sphere of influence
Source Jennings, CACM
25
Semantic
Pervasive
Grid
26
Fundamentally about Interoperability and
inference
Grid and Pervasive share issues in large scale
distributed systems. e.g. service description,
discovery, composition autonomic computing.
These can be aided with semantics.
Pervasive applications need the Grid, e.g.
Sensor Networks
Grid applications need Pervasive Computing e.g.
Smart Laboratory
27
Closing Remarks
  • Both Grid and Semantic Web are about joining
    things up
  • The Semantic Grid is needed to realise the Grid
    ambition and the e-Research vision
  • See www.semanticgrid.org
  • Contact

Carole Goble University of Manchester carole_at_cs
.man.ac.uk
David De Roure University of Southampton dder_at_e
cs.soton.ac.uk
28
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