provenance and the informed rural passenger
DESCRIPTION
Overview of how provenance can be used to benefit rural real-time passenger information systems. The presentation was given at the workshop “Developing a Set of Provenance Principles for Linked Open Data” organised as part of the eScience Institute mini-theme on “Provenance and Linked Open DataTRANSCRIPT
David Corsar – [email protected] Corsar – [email protected]
Provenance and the Informed Rural Passenger
David CorsarPete Edwards, John Nelson, Yaji Sripada, Jeff Pan,
Mark Beecroft, Nagendra Velaga
www.dotrural.ac.uk/irp
David Corsar – [email protected] Corsar – [email protected]
Overview Problem Linked data sets Provenance
David Corsar – [email protected] Corsar – [email protected]
Informed Rural Passenger 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 Consuming and providing information Not just passengers, but everyone using/potentially using the
transport infrastructure
Why? Drive behaviour change More efficient use of the transport network
David Corsar – [email protected] Corsar – [email protected]
Example rural bus route
maps.google.co.uk
David Corsar – [email protected] Corsar – [email protected]
Linked (Open) Data Sets NaPTAN
Bus stops, train stations, airports,... Longitude, latitude, unique ids, name, region
NPTG UK settlements that people would want to travel to
Transport operators Timetables
Traveline National Data Set ATCO-CIF files converted to LOD (thanks to SWIRRL)
Users Profile Social network
Observations of current vehicle locations
David Corsar – [email protected] Corsar – [email protected]
Linked (Open) Data
NaPTAN
NPTG
Operators
Timetables
Users
Observations
Social Networks
David Corsar – [email protected] Corsar – [email protected]
Reasons for ProvenanceWithout Provenance
“We think the next bus on route 366 is currently running 10 minutes late”
With Provenance
“Comparing three location observations acquired from the GPS on mobile phones belonging to three separate passenger that you regularly travel with, and the current timetable for route 366, we think your bus is running 10 minutes late with a certainty of 90%”
David Corsar – [email protected] Corsar – [email protected]
Timetable Provenance
JourneyTiming Point
NaPTAN Stop point
Route
Operator
DayTime
Artifact
Agent
UK Gov
Traveline
David Corsar – [email protected] Corsar – [email protected]
Social Network Provenance
foaf: Agent
foaf:Person
tl:Operator
Agent
David Edoardofoaf:knows
Johndislikes
Susan
frequentlyTravelsWith
The interesting bits
David Corsar – [email protected] Corsar – [email protected]
Linked Open Data / Provenance Issues
Provenance of links (between data islands) Summarisation Reasoning Complex objects Provenance model Validation Interaction of triple stores & data
integration/transformation Access level (public vs private)
David Corsar – [email protected] Corsar – [email protected]
Overview Informed Rural Passengers Integrating
Very infrequently changing LOD sets (NaPTAN) ~ year Infrequently changing data sets (timetables) ~ months Frequently changing data sets (social networks) ~ days Very frequently changing data sets (vehicle locations) ~ minutes
Provenance Trust, reliability, validating
Link provenance
David Corsar – [email protected] Corsar – [email protected]
Provenance and the Informed Rural Passenger
David Corsar - [email protected] Edwards, John Nelson, Yaji Sripada, Jeff Pan,
Mark Beecroft, Nagendra Velaga
www.dotrural.ac.uk/irp