Instruments Sensors and the Semantic Grid

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Instruments Sensors and the Semantic Grid
David De Roure
Craig Hutton
dder_at_ecs.soton.ac.uk
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Semantic
Pervasive
Grid
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Machine-processable Descriptions for interop and
automation
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
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Outline

• Pervasive Grid
• FloodNet, Medical Devices
• Semantic Grid
• myGrid, CoAKTinG
• Semantic Pervasive
• Chawton House
• Pervasive Semantic Grid
• CombeChem
• Reflections

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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

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GlacsWeb
See IEEE Spectrum Dec 2005
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FloodNet
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Flood depth and warning
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Site location
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River Crouch study site
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River Crouch study site

• Tidal channel at low and high tide

Craig Hutton
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River Crouch study site
Standing at sensor 3 facing East
Craig Hutton
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River Crouch study site
Standing at sensor 5 facing North East
Craig Hutton
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FloodNet Architecture
The inner loop
subscribers
Simulated Nodes
users
Peer-to-peer computing
GIS
gateway
broker
GPRS
Flood prediction
Sensor Nodes
Live data informs predictions
grid
Predictions influence sampling and reporting
rates
Meteorological data
The outer loop
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Medical Devices
Sensor bus

• ECG, Oxygen saturation
• Body movement
• Accelerometers
• GPS

GPS aerial
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Blood Glucose Monitoring

• Self-reporting - Patient takes measurement
• Measurement sent via mobile phone to remote
  infrastructure
• Series of lifestyle questions asked as part of
  the clinical trial
• Users promoted for compliance
• Current trial involves 100 patients

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Portal
Don Cruickshank
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Deploying on the Grid
proxies
Chris Greenhalgh
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Semantic Grid

• On demand transparently constructed
  multi-organisational federations of distributed
  services
• Distributed computing middleware
• Computational Integration

Carole Goble
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WWW2002
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Semantic Grid
SemanticWeb
SemanticGrid
Scale of Interoperability
ClassicalWeb
ClassicalGrid
Scale of data and computation
semanticgrid.org
Based on an idea by Norman Paton
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Semantics in and on the Grid
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Semantics in e-Science
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
mygrid.org.uk
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IST
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Next Generation Grids Vision
Interfaces users and applications
Non SOKU
Ecosystem of Services Service Soup
Non SOKU
Non SOKU
Non SOKU
Computing Infrastructure
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CoAKTinG
www.aktors.org/coakting
KMI, AIAI
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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
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Image from NASA
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Chawton House and Landscape
Centre for the Study of Early English Women's
Writing

• School children using PDA and GPS
• Focus on different users
• Accumulation of content and annotations

www.equator.ac.uk
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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
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CombeChem
www.smarttea.org
www.combechem.org
monica schraefel
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Digital lab book replacement
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COSHH
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Smart Lab Snapshot the laboratory conditions
when the experiment was conducted in 2004
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CombeChem Semantic Datagrid

• Existing datastores linked by RDF triplestores
• Around 80 million triples in 3store triplestore
• A social experiment! e.g. Chemists built
  ontology for units
• Chemists appreciate powerful queries and
  flexibility
• Metadata infrastructure is in place

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Reflections

• This is about the intersection of the digital and
  physical worlds
• Proof of concept
• Best practice is emerging through case studies
  in the wild
• Lots still to be done the real world is messy!
• Information perspective
• Anticipated vs. unanticipated re-use
• Key principle is Semantic Annotation
• Capture contextual metadata at source
• Maintain provenance
• Can use Semantic Web technologies

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Acknowledgements

• Equator Medical devices and Chawton
• EnviSense FloodNet
• MIAS Medical Devices
• AKT - CoAKTinG
• CombeChem
• myGrid