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David De Roure

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Grid computing has emerged as an important new field, distinguished from ... system - without a human having to custom handcraft every connection. ... – PowerPoint PPT presentation

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Title: David De Roure


1
The Semantic Web
  • David De Roure
  • University of Southampton
  • www.semanticgrid.org

2
Outline
  • The ambition
  • Enabling Technologies
  • Grid
  • Semantic Web
  • Semantic Grid
  • EnviSense
  • The Future

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 in 2001
4
Vision Grid
  • Grid computing has emerged as an important new
    field, distinguished from conventional
    distributed computing by its focus on large-scale
    resource sharing, innovative applications, and,
    in some cases, high-performance orientation...we
    define the "Grid problemas flexible, secure,
    coordinated resource sharing among dynamic
    collections of individuals, institutions, and
    resources - what we refer to as virtual
    organizations

From "The Anatomy of the Grid Enabling Scalable
Virtual Organizations" by Foster, Kesselman and
Tuecke
5
Requirements
  • These visions require an infrastructure for
    flexible, coordinated resource sharing they are
    fundamentally about joining resources up,
    automatically, in order to do things that werent
    possible before

6
Challenges integration
Many sources of data, services, computation
Registries organize services of interest to a
community
Foster
7
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

Goble
8
(No Transcript)
9
(No Transcript)
10
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

11
Layers of Languages
Attribution
Explanation
You are here
Rules Inference
Ontologies
Metadata annotations
Standard Syntax
Identity
12
Web vs Semantic Web
Web page
Any Web Resource
lta href
URIgt
HTML
lta hrefhttp//gt
URI
URI
URI
RDF is like the web!
RDF
Hendler
13
Everything has a URI
Don't say "colour" say http//example.com/2002/std
6col
14
Applications connected by concepts
15
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
16
Clients of the RDF bus
17
Triplestore
18
Rocket Science (not)
Is this rocket science? Well, not really. The
Semantic Web, like the World Wide Web, is just
taking well established ideas, and making them
work interoperably over the Internet. This is
done with standards, which is what the World Wide
Web Consortium is all about. We are not inventing
relational models for data, or query systems or
rule-based systems. We are just webizing them. We
are just allowing them to work together in a
decentralized system - without a human having to
custom handcraft every connection.
Tim Berners-Lee, Business Case for the Semantic
Web, http//www.w3.org/DesignIssues/Business
19
5 Myths Busted!
  • Isnt it just AI and distributed agents (again)?
  • No It is primarily metadata integration and
    querying
  • Dont you need all that reasoning stuff?
  • No A little bit of semantics goes a long way!
    (Hendler)
  • It only applies to the Web?
  • No the technologies are being used for
    Enterprise integration, exposing data in a common
    model, common ontology languages, representing
    terminologies.
  • One big ontology of everything never works!
  • No multiple ontologies multiple everything!
  • One big Semantic Web!
  • No lots of Semantic Web-lets, and expect it to
    break!

Goble
20
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

NB Report updated March 2005 issue of
Proceedings of the IEEE
21
Building bridges
22
Semantic Grid
SemanticWeb
SemanticGrid
Scale of Interoperability
ClassicalWeb
ClassicalGrid
Scale of data and computation
Based on an idea by Norman Paton
23
Semantics in and on the 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 peopleto work in cooperation
24
Semantics in and on the Grid
25
Combe Chem pilot project
Video
Simulation
Properties
Analysis
StructuresDatabase
Diffractometer
X-Raye-Lab
Propertiese-Lab
Grid Middleware
26
In the lab
www.smarttea.org
27
(No Transcript)
28
In the bar
29
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
30
CombeChem Semantic Datagrid
  • Existing datastores linked by triplestores
  • 80 million triples in 3store
  • A social experiment! e.g. Chemists built
    ontology for units
  • Chemists appreciate powerful queries and
    flexibility
  • Metadata infrastructure is in place

31
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
32
Image from NASA
33
Envisense
  • The Centre for Pervasive Computing in the
    Environment is one of the seven national centres
    in the DTI Next Wave Technologies and Markets
    Programme
  • Current projects FloodNet, GlacsWeb and SECOAS

34
Study Site
8
9
7
10
2
12
1
3
11
4
6
5
  • Yellow spots indicate the location of sensors

35
FloodNet
(De Roure, 2005)
36
Semantic
Pervasive
Grid
37
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
38
E-Science Special Issue
  • IEEE Intelligent Issue Special Issue on
    E-Science, Jan-Feb 2004
  • De Roure, Gil, Hendler
  • Challenges
  • Realising the network effect
  • Moving beyond centralised stores
  • Automated assembly
  • Collaboration tools
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