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School of Electronics and Computer Science

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Devices are getting smaller and faster all the time. Moore's Law has held for 40 years ... A large part of scientific discovery is now a joint human machine endeavour ... – PowerPoint PPT presentation

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Title: School of Electronics and Computer Science


1
School of Electronicsand Computer Science
  • Knowledge Repositories The Next 10 Years
  • Professor Nigel Shadbolt

2
Drivers for Change
  • The Open Access debate and the Open Archive
    Initiative
  • Moores Law
  • The Semantic Web
  • The Nature of Research Publications

3
Drivers for Change
  • The Open Access debate and the Open Archive
    Initiative
  • Moores Law
  • The Semantic Web
  • The Nature of Research Publications

4
Faster and Smaller
  • Devices are getting smaller and faster all the
    time
  • Moores Law has held for 40 years
  • This leads to orders of magnitude
  • Increase in power
  • Increase in memory
  • Decrease in size
  • Decrease in cost
  • Constant migration and obsolescence
  • Our processors will have very limited shelf life
  • Our storage does too
  • Our physics does too

5
Drivers for Change
  • The Open Access debate and the Open Archive
    Initiative
  • Moores Law
  • The Semantic Web
  • The Nature of Research Publications

6
Making the Web Semantic
7
Via meta content
That is machine readable.
This is a type of object event and this is its
title This is the URL of the web page for the
event This is a type of object photograph and the
photograph is of Tim Berners-Lee Tim Berners-Lee
is an invited speaker at the event
8
Can Annotate Anything
  • Publications
  • Databases
  • Metadata on scientific structures

9
The SW Community Structured Spaces
  • Linkage of heterogeneous information
  • web content
  • databases
  • meta-data repository
  • multimedia
  • Via ontologies as information mediation
    structures
  • Using Semantic Web languages

10
Ontologies Fundamental Building Blocks of the
Semantic Web
11
The Ontology
  • A shared conceptualisation of a domain
  • Provides the semantic backbone
  • Lightweight and is deployed using a W3C
    recommended standard language

12
Genetics Gene Ontology
  • One of the earliest examples of the benefits of
    ontologies
  • Integration and interoperability were big wins
  • Specific tool support
  • Considerable resources invested and continuing in
    maintenance
  • Spawned more generic biological ontology efforts

13
Standards are fundamental
14
Advanced Knowledge Technologies IRC
  • AKT started Sept 00, 6 years, 8.8 Meg, EPSRC
  • www.aktors.org
  • Around 65 investigators and research staff

15
Infrastructures and Components
  • Built core infrastructures
  • Constructed component technologies that cover the
    knowledge life cycle in a number of applications

16
Exemplar Technology ClassAKT
17
Semantic Spaces Integrating Knowledge
Technologies
18
The CS AKTive SpaceInternational Semantic Web
Challenge Winner
  • 24/7 update of content
  • Content continually harvested and acquired
    against community agreed ontology
  • Easy access to information gestalts - who, what,
    where
  • Hot spots
  • Institutions
  • Individuals
  • Topics
  • Impact of research
  • citation services etc
  • funding levels
  • Changes and deltas
  • Dynamic Communities of Practice

19
Components of a Solution
  • Information sets
  • Ontology to mediate information sets
  • Semantic Storage Capability
  • Query Capability on Storage
  • Network and graph analysis tools
  • Browsing and Visualisation tools

20
CS AKTiveSpace
21
Extending the model
22
EPSRC Knowing what they know
data sources
gatherers and mediators
ontology
knowledge repository(triplestore)
applications
23
Visualising Interaction
24
Visualising Interaction Programmes
25
Drivers for Change
  • The Open Access debate and the Open Archive
    Initiative
  • Moores Law
  • The Semantic Web
  • The Nature of Research and Publication
  • Knowledge Mapping

26
New ways of discovery e-Science
  • A large part of scientific discovery is now a
    joint human machine endeavour
  • Without considerable compute power no hope of
    progress
  • Examples from physics, astronomy, biology,
    chemistry and engineering

27
The Comb-e- Chem Vision
Structure Properties
Knowledge Prediction
Structures DB
Properties DB
Co-Laboratory Interaction between users Dark
Labs
Automation Remote interaction
Simulation and calculation
28
Undergraduate Students
Digital Library
Graduate Students
E-Scientists
E-Scientists
E-Scientists
Grid
5
E-Experimentation
Entire E-Science CycleEncompassing
experimentation, analysis, publication, research,
learning
29
The need for xtl-Prints
Combechem
DATA
PUBLICATION
DISSEMINATION
Combichem
30
Structural Eprints
31
Drivers for Change
  • The Open Access debate and the Open Archive
    Initiative
  • Moores Law
  • The Semantic Web
  • The Nature of Research and Publication
  • Knowledge Mapping

32
Increasing Use of Value Added Services
33
Communities of Authors
  • An example of a small coauthorship network
    depicting collaborations among scientists at a
    private research institution. Newman, M. E. J.
    (2004)
  • Web services to run over archives at varying
    grainsize

34
Evolving Domains Impact Analysis
  • Three time periods in the PNAS high-impact map
    show the progression from the basic gene and
    protein work and techniques that dominated the
    1980s to more diverse applications in the 1990s
    (Boyack, Kevin W. 2004)

35
Bursting onto the scene New Topics
Fig. 2.
  • Co-word space of the top 50 highly frequent and
    bursty words used in the top 10 most highly
    cited PNAS publications in 1982-2001

36
Self Organising Maps Topic Landscapes
  • Use of k-means clustering in combination with a
    term dominance landscape to support semantic
    zooming. Skupin et al 2004

37
Detecting Key Moments Pathfinder
  • A 624-node merged network with global pruning by
    using Pathfinder Chen (2004)

38
A future
  • With institutional OAI at its heart
  • A semantic web of knowledge
  • Knowledge repositories as key holdings
  • Knowledge mapping services increasing in range
    and capability
  • Beyond bibliometrics
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