Information and Knowledge Management

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Group Mission

• To advance the state-of-the-art
• in
• knowledge and data management
• through
• theoretical investigation,
• system construction
• and
• application development.

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Academics

• Carole Goble
• Ian Horrocks
• Norman Paton
• Ulrike Sattler
• Alvaro Fernandes
• Rizos Sakellariou
• Sean Bechhofer
• John Brooke (honorary lecturer, MC)
• Ning Zhang (to join us)

Doubled in Size in 18 months
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Staff

• Research Staff
• Nedim Alpdemir
• Constantinos Astreos (ESNW)
• Mike Bada (with BHIG)
• Richard Cawley (until Aug)
• Nick Drummond (with BHIG)
• Simon Harper
• Matthew Horridige (with BHIG)
• Kevin Garwood (ESNW)
• Tony Griffiths
• Tasos Gounaris
• Phillip Lord
• Nick Sharman
• Dmitri Tsarkov
• Daniele Turi
• Jeff Pan
• Colin Puleston
• Krish Krishnakumar
• Desmond Fitzgerald

• Administrative Staff
• Karon Mee
• Sam Creighton

• Vacancies
• COHSE III
• Grid Architect (ESNW)
• Grid developer (ESNW)
• OntoGrid (subject to contract)
• Ulis project

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PhD Students

• Writing Up
• Veruska Aragao
• Nassima Djafri
• Luciano Gerber
• Anand Kamble
• Ane Troger

• Current
• Lei Li
• Yeliz Yesilada
• Jun Zhao
• Antoon Goderis
• Francis Kwong
• Pinar Alpar
• Duncan Hull
• Henan Zhao
• Serafeim Zanikolas
• Birte Glimm (Joins soon)

• Recently Completed
• Seung-Hyun Jeong
• Marcelo Aragao

• Awards to fill
• BT Exact Case Award
• Geodise DTA
• CCLRC Studentship

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Bioinformatics

• Staff
• Mike Cornell
• Jane Mabey
• Michael Wilson
• Chris Garwood

• Students
• Cornelia Hedeler
• Paul Kirby (writing up)

• Vacancies
• COGEME/Streptomyces
• e-Fungi
• ISPIDER
• PEDRo

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Distributed Info Management
Query processing
Spatial-temporal databases
Distributed Query Processing
Web and Grid Services
Service Level Agreement Based Scheduling
Heuristics
Grid Management
Distributed Information Management
OGSA-DAI
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Knowledge Representation
Description Logics
Reasoning
The FaCT System
Ontology Languages
Ontology development deployment
Knowledge driven systems
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Hypermedia
COHSE
Ambient Hypermedia
Web Accessibility
Hypermedia Web Engineering
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Applications
Bioinformatics
e-Science
Semantic Web
Semantic Grid
OGSA-DAI
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The Semantic Web

• The Web today is
• A hypermedia digital library
• Collection of linked web pages
• Ubiquitous interface to applications
• Amazon.com
• A platform for multimedia
• Radio 4 in my hotel
• A naming scheme
• Unique identity for resources

A place where people do the work, filtering,
linking and interpreting. Computers do the
presentation.
Why not make the computers do the work?
From machine readable resources for humans to
computable resources for machines
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Components and Languages
Web of Trust
Rules Web
?p -gt ?a pa
?p -gt ?a pa
?p -gt ?a pa
?p -gt ?a pa
?p -gt ?a pa
Ontology Web
Metadata Annotation Web
Web
Deep web
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Semantic Web Impact

• Recognised world leaders in the community
• Co-authors of the W3C Web Ontology Language OWL
• Leading research group in language design,
  practical reasoners and deployment
• Chairs of ISWC, WWW SemWeb track
• EIC Elsevier Journal of Web Semantics
• Research director EU FP6 Knowledge Web NOE
• Keynotes AIMA, ECAI, EDBT.
• Founders of Network Inference, a Semantic Web
  spin off company

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e-Science a definition

• e-Science is about global collaboration in key
  areas of science and the next generation of
  computing infrastructure that will enable it.
• Dr John Taylor,
• Director General of UK Research Councils
• The Grid is an enabling technology.

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The Grid

• flexible, secure, coordinated resource sharing
  among dynamic collections of individuals,
  institutions, and resources - what we refer to as
  virtual organizations."

implement one from many manage many as
one dynamic, ad hoc, long lived, large VOs
The Anatomy of the Grid Enabling Scalable
Virtual Organizations Foster, Kesselman, Tueke
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e-Science
North West Institute for BioHealth Informatics
Manchester Interdisciplinary Biocentre
Jodrell Bank
Centre of Excellence
ESRC National e-Social Science Centre
National Text Mining Centre
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Manchester Computing
e-Science projects at MC are the Computational
Grid part of the ESNW effort Research and
production deployment of the National Grid
Service 11 RAs, 2 PhDs and one MPhil Module
taught on Adv Comp MSc for first time in 2003, 26
students 3 dissertations currently being
written Strong collaboration with Physics and
Astronomy
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Multidisciplinary Interactive steering in
parameter space
Cubic micellar phase, high surfactant density
gradient.
Cubic micellar phase, low surfactant density
gradient.
Initial condition Random water/ surfactant
mixture.
Self-assembly starts.
Lamellar phase surfactant bilayers between water
layers.
Rewind and restart from checkpoint.
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Underpinnings of e-Research
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Standards and International Initiatives

• Unless you engage in standards your work is
  destined for the library shelf

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International active collaborations

• caBIG
• BIRN
• GEON
• GryPhyN
• SEEK
• SCEC/IT

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Commercial Collaborators
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External Funding

• Oct 99 present 8,278,815.60
• Ulis and Rizoss grants!
• BBSRC ISPIDER
• EPSRC myTea
• EPSRC Integrative Biology
• EPSRC Rapid Prototyping
• Two Sun Microsystems awards
• DARPA DAML contract
• ESNW 3.2 million University Investment Fund
• Navigating the soft landing for e-Science

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Projects concluding contract negotiations

• EU FP6 NoE Coregrid
• EU FP6 STREP OntoGrid
• NWDA NW-Grid

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Proposals in review/pipeline

• Ultra High Throughout Drug Discovery Engine - DTI
  Technology Fund
• NICRA - NW Science
• PsyGrid MRC
• Grand Challenge 13
• RHINO

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Proposals planned

• myGrid EPSRC platform grant
• proximity
• DANTE
• JISC VRE

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Exploitation Activities

• Exploitation activities are intrinsic, not a bolt
  on
• They cannot be separated from the research
  itself.
• Micro level
• E.g. Individual projects give software away
• Macro level
• Technology -gt deployment -gt standards

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Public Software

• FaCT Description Logic reasoner.
• GIMS Genome data warehouse.
• OilEd Ontology editor.
• COHSE Ontology hypermedia system.
• Pedro Proteome data entry tool.
• UMLi User interface modelling tool.??
• myGrid Bioinformatics middleware platform
• OGSA-DQP Grid-enabled distributed query processor

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Ambitions

• What impact do you expect your results to have on
  other researchers in your field or in other
  fields?
• What is the group strategy for establishing/mainta
  ining international leadership in its field

• Technical
• Changing results in a field
• Deployment
• Practice and take up by application user base or
  CS community
• Standardisation

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Technical Impacts

• Examples
• Tableaux algorithms for tractable reasoning over
  expressive DLs, making them a practical basis for
  the ontologies the basis of the Semantic Web.
• Development of FaCT DL system to demonstrate
  performance gains.
• Tripod the first implementation of a complete
  spatio-temporal database system.
• Web accessibility world leaders and award winners

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Technical Impacts

• Examples
• Higher level grid services bringing the grid to
  the scientist rather than the scientist to the
  grid. myGrid is possibly THE highest profile
  BioGrid middleware project.
• Service based data access and integration for the
  Grid world pioneers in JDBC WSDL its
  consequences.
• Development of first distributed query processor
  (DQP) for the Grid.
• Computational steering SC2003 TeraGyroid. Won
  the HPC Challenge Award for Most Innovate
  Data-Intensive Application.

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Recognition awards at SC03 and ISC2004
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Deployment impacts

• Network inference 11 million VC
• Protein interaction paper in Nature 171 citations
  since May 2002
• Technology enables new biology
• OilEd 7000 download OGSA-DAI 3000 downloads
  Pedro gt 500 downloads
• 50 MRC e-Science project build on myGrid
• 90 ESRC e-Science projects build on OGSA-DAI
• WSRFLite GGF interoperability fest

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Exploitation

• Network Inference
• 11 million venture capital update
• Moved to San Diego, USA
• About 20 employees
• Cerebra Semantic Integration Suite

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Standards

• W3C / DAML
• OWL, RDF, SWRL, Life Science
• I3C/OMG
• LSID
• GGF
• DAIS-WG, SEM-GRD-RG, Grid Protocol Architecture
  WG.
• PSI - joint with BHIG
• MIAPE General proteomics data representation
• OBO - joint with BHIG
• SWSI
• OWL-S

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Establishing/maintaining international leadership

• Doing what we have been doing. We are good at it
• End-to end RD lifecycle
• Technology -gt deployment -gt standards
• Inter-disciplinarity
• New ways of working new activities
• Domain applications and sub disciplines of
  computing
• Good at keeping established collaborations and
  forming new ones internationally.
• Applications reality
• Good citizenship to the community.
• We are good at spotting the next wave and we are
  good at seeing how we can adapt our technologies
  to surf it.