an overview of provenance research activities at aberdeen
DESCRIPTION
An overview of the provenance related research activities at the University of Aberdeen, including ourSpaces, the Informed Rural Passenger project, and sensor data quality.TRANSCRIPT
An Overview of Provenance Research Activities at Aberdeen
David CorsarContributions from Edoardo Pignotti
and Chris BaillieDavid Corsar – [email protected]
Overview• Policy Grid
– Provenance and policies in a VRE including enhancing provenance of workflows with intent
• Informed Rural Passenger– Provenance in crowd-sensing to support trust assessments
• Sensor Data Quality Assessment– Enhancing through the use of provenance and linked
sensor data• Provenance and Linked Open Data eSI mini-theme
– Initial findingsDavid Corsar – [email protected]
PolicyGrid and the ourSpaces VRE• Developed as part of the PolicyGrid Digital
Social Research Node • A collaboration environment for scientists• A means to share scientific resources across a
diverse community• Integrates aspects of the Social and Semantic
Web (including provenance)
PolicyGrid Provenance Framework
ourSpacesInformed Rural
Passenger
Environment OpennessClosed Open
Type of Environment
Rural Passenger Information System
• Informed– About “world-state” – predicted and actual– About travel options
• Rural– People using transport infrastructure in rural
areas– Very little/no existing passenger information
systems• Passengers (the crowd)
– Consumers: information– Providers: acting as sensors for real time
journey information, provided via their mobile phone
• Challenge– Ensuring information provided to people is
reliable, trustworthy, etc.
Addressing the Challenges• Integrate data from
– Operators/Government• Access points• Routes • Timetables
– Passengers• Observations• Social network – implicit and explicit
– others• Add provenance
– Publisher and date of data– How observations were made and who by– How social networks evolve
• Build services using this to reason about– Trust– Quality
Semantic Modellingssn:Platform
“iPhone4”
ssn:SensingDevice“iPhone4GPS_SD”
ssn:SensingDevice“iPhone4Camera”
ssn:SensingDevice“iPhone4Mic”
ssn:Property“longitude”
ssn:Property“latitude”
ssn:Property“altitude”
ssn:Property“speed”
ssn:SensingDevice“iPhone4WaterSD”
ssn:SensingDevice“iPhone4Proximity”
ssn:MeasurementCapability
“iP4LongMC”
ssn:Frequency“iP4LongFreq”
ssn:onPlatform
ssn:observes
ssn:hasMeasurementCapability
ssn:forPropertyssn:hasMeasurementProperty
1^^xsd:int
minSeconds
iPhone modelled as a sensor using Semantic Sensor Network Ontology
ssn:Sensing“LocationSensing” ssn:implements
Additional Information
foaf:Agentopm:Agent
“David”
foaf:Agentopm:Agent
“Ed”
foaf:Agentopm:Agent
“Pete”
opm:ArtifactFrequentlyTravelWith
“fellowTravellers1”
opm:Process“Find Frequent Fellow
Passengers”
Support development of models/policies for trust, reliability assessment based on rich description of the data and its provenance
ssn:Observationopm:Artifact“Location1”
ssn:SensingDevice“iPhone4GPS_SD”
ssn:Sensingopm:Process
“LocationSensing”
ssn:sensingMethodUsedopm:wasGeneratedBy
ssn:observedBy
opm:wasControlledBy
foaf:knows
traveller traveller
opm:wasGeneratedBy
Informed Rural Passenger
Chris Baillie’s work
Sensor and Reasoning Types
Trust, reliability assessments using data from people, their social networks, and associated provenance
Enhancing sensor data quality assessment using linked data and provenance
Information Quality in the Web of Linked Sensor Data
• The Web is an open platform– Anyone can publish anything
• A quality assessment mechanism is essential to identify reliable information
• The Web is big– We are exploring these issues in Web of Linked
Sensor Data
Enhance Quality Assessment
Context
Raw Sensor Data
Linked Sensor Data
Provenance of Sensor Data
Quality Assessment
Narrow Scope Quality Assessment
Discover Additional Quality Indicators
Improve Accuracy
Enhance Performance
DBPediaSSN
Geonames …
OPM Intent
Policies Past QA
Prototype System
eScience Institute mini-theme Provenance and Linked Open Data
• Programme of visitors, workshops, and events focusing on issues of provenance and linked open data
• Outcomes:– Issues relating to provenance and LOD– Use cases illustrating issues– Set of principles for publishing provenance of LOD
Principles for Publishing Provenance of Linked (Open) Data
Record and publish provenance of resources on the web (whatever format)
For every published web resource, publish its provenance as Linked Data
Publish links or other data that allow navigation from a resource to its provenance, and vice versa.
Publish provenance of the links between a resource and its provenance
Further Information• Policy Grid– http://www.policygrid.org
• Informed Rural Passenger– http://www.dotrural.ac.uk/irp
• Information Quality & Web Linked Sensor Data– Chris Baillie: http://www.csd.abdn.ac.uk/~cbaillie
• Provenance and Linked Open Data– http://www.esi.ac.uk/research-themes/18– http://wiki.esi.ac.uk
Provenance_and_Linked_Open_DataDavid Corsar – [email protected]