an overview of provenance research activities at aberdeen

An Overview of Provenance Research Activities at Aberdeen

David CorsarContributions from Edoardo Pignotti

and Chris BaillieDavid Corsar – dcorsar@abdn.ac.uk

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 – dcorsar@abdn.ac.uk

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 – dcorsar@abdn.ac.uk