Spatial InfrastructuresProfessor Geoff West

Knowledge

Data

Information

Wisdom

Twitter: #crcsi

Vision and Outcomes• Vision

– “Seamless access to the right spatial knowledge at the right time,

in the right format, at the right price”

• Outcomes

– Intelligent search and discovery

– Vertical and horizontal linking of data and processes

– Orchestration of web services

– Crowd sourced integration

– Fast and effective big data querying

– Supply chain management and processing

thetowerofbabel.net

www.independent.co.uk

From Drivers to Utilisation

Virtual Spatial Infrastructure

Already there

Developing

Principles

• Don’t necessarily want data, want information

– Leave data where it is, access when needed

– Use web services and online resources

– Use standards (OGC, W3C etc.)

– Run processes in situ with data

– Build on top of available resources – no need to change

underlying services!

Want: Don’twant:

http://www.sgio.com.au/wa/carcreationhttp://www.tflcar.com/2013/02/is-the-2014-alfa-romeo-4c-the-next-lotus-elise-exige/

http://ridesinfo.com/land-rover-defender-white-wallpapers/

or

http://www.mkbergman.com/229/climbing-the-data-federation-pyramid/ [accessed 25th Oct 2014]

The Semantic Web

Semantic Web technology stack visualization (Benjamin Nowack 2011)

Artificial Intelligence• Highest levels of the Semantic Web

• Application of rules derive knowledge from data through

inference (first order logic):

– Facts: Father(Fred, Bill), Father(Bill, John)

– Rule: Grandfather(X,Y) if Father(X,Z) and Father(Z,Y)

– Inference: Grandfather(Fred, John)

• Description logics – querying and processing ontologies

(derived from first order logic)

– Find anomalies and errors in datasets

– Infer new knowledge

– Map different datasets to each other

Current Projects• Project 3.01 – Search and Discovery, Federated Models

– Research Fellow – Curtin: David McMeekin

– PhD students – Curtin (three)

– NGIS, Amristar, PSMA, Landgate, DELWP, CSIRO, Omnilink

• Project 3.02 – Supply chains, orchestration, crowd

sourcing, licensing

• Research Fellows –David McMeekin, Lesley Arnold

• PhD students – Curtin (three), Canterbury (three)

• Loc8 WA Board, DELWP, Canterbury City Council, LINZ, PSMA,

NGIS, Omnilink

• Project 4.17/3.03 – Querying big data – 3D/4D datasets

– Joint P3/P4 project

• Research Fellows – GA (one) and QUT (one)

• GA, DELWP, QDERM et al

Participant Engagement• Evolving requirements requiring agility

– Provenance research – eventuated from workshop on Geocoded

Addressing (Project P3.10)

– Conflation of data – eventuated from numerous stakeholder

meetings (Landgate, DELWP)

– Federation of data – eventuated from need to seamlessly

reconcile data from agencies to the FSDF and each other

– Accessing data through new processes – querying Google Map

Engine API for Landgate

– Searching with FIND for GA – build semantics on top

– 43pl engagement– Omnilink and Omniscience software, AAM

and Voyager software

• Why?– Addresses real world problems - identified by

stakeholders

– Seamlessly integrate into stakeholder systems

• So what?– Logical evolution of information systems, increased

automation

• Who benefits?– Everyone from data suppliers through to customers