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Spatially Enabling Australia and New Zealand Program 3 | Spatial Infrastructures An Overview Project Leader Research Team Project Participants Professor Geoff West, Science Director (Curtin University); Kylie Armstrong, Program Director (CRCSI) Dr Femke Reitsma (University of Canterbury); Dr David McMeekin*, Dr Simon Moncrieff* and Dr Lesley Arnold* (*Curtin University) Curtin University; Queensland University of Technology; University of Canterbury Landgate, WA; Department of Environment and Primary Industries, Victoria; PSMA Spatial Data Supply Chains: Addressing the Gaps in Capability through Research: Objectives To effectively manage data complexity and create sustainable solutions by automating the entire supply chain from upstream to downstream activities To develop solutions that are consumer-centric, where the broader community has access to information that affords a greater knowledge proposition; not just a standard information offering To create solutions that embrace the online community as an integral part of the spatial data supply chain – locally, nationally and globally To future proof our spatial infrastructure by exploiting the semantic web and linked data technologies that are on our horizon ww w.crcsi.com.au B c D E E F G HOW CAN I ASSIMILATE COMMUNITY DATA? CAN I GET UPDATES IN REALTIME? I J A LET’S STOP DUPLICATING EFFORT I WANT TO TRANSACT BUSINESS ONLINE WHAT WILL THE FUTURE SUPPLY CHAIN BE? IS DATA FIT FOR PURPOSE? HOW CAN I TRUST COMMUNITY DATA? HOW CAN I BETTER ENGAGE WITH COMMUNITY? I WANT ANSWERS TO COMPLEX QUERIES I CAN’T FIND THE DATA I NEED I NEED A NATIONAL VIEW OF DATA I NEED TO SPEED UP DATA CAPTURE A J E F G B H D I C Community Data Combining duplicate agency data sets to achieve a single authoritative source Automatic Data Conflation PhD: Feiyan Yu Automatic Feature Extraction PhDs: Michael Borck & Richard Palmer et al (P2 Projects) On-the-fly Federated Data Views PhD: Jeremy Siao Him Fa Topological Relationships Maintained Improving Search and Delivery PhDs: Tristan Reed and Elizabeth-Kate Gulland (P4.4 Project) PhD: Chet Bing Tan Intelligent Automatic Orchestration of WPS WPS Crowdsourcing a Spatial Data Infrastructure PhD: Levi Mutambo SDI A bottom up Approach to SDI A farmer submitted “crowdsourced” pasture biomass calibration case study PhD: Paul Goodhue A Trust Model for Crowdsourced Data Social Assessment Discrete Geographical Assessment Assessment TRUST RATING + = PhD: Hamish McNair Integrating Authoritative and Crowdsourced Data Delivering Real time Supply Chain Management for Sls Research Fellow: Dr Lesley Arnold PhD: Muhammad Azeem Sadiq Tracking Data Provenance Automatic Spatial Transaction Management Surveyor Developer Local Govt PhD: Premalatha Varadharajulu Central “Aggregating” Agency Cooperative Research Centres Program GA Links to Big Data P4.17 J G Spatial Data Research: Dr David McMeekin Sematic Web Technologies & Artificial Intelligence

Program 3 Spatial Infrastructures – An Overview

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Page 1: Program 3 Spatial Infrastructures – An Overview

Spatially Enabling

Australia and New Zealand

Program 3 | Spatial Infrastructures –An Overview

Project Leader

Research Team

Project Participants

Professor Geoff West, Science Director (Curtin University); Kylie Armstrong, Program Director (CRCSI)

Dr Femke Reitsma (University of Canterbury); Dr David McMeekin*, Dr Simon Moncrieff* and Dr Lesley Arnold* (*Curtin University)

Curtin University; Queensland University of Technology; University of Canterbury

Landgate, WA; Department of Environment and Primary Industries, Victoria; PSMA

Spatial Data Supply Chains: Addressing the Gaps in Capability through Research:Objectives

• To effectively manage data complexity and create sustainable solutions by automating the entire supply chain from upstream to downstream activities

• To develop solutions that are consumer-centric, where the broader community has access to information that affords a greater knowledge proposition;not just a standard information offering

• To create solutions that embrace the online community as an integral part of the spatial data supply chain – locally, nationally and

globally To future proof our spatial infrastructure by exploiting the semantic web and linked data technologies that are on our horizon

www.crcsi.com.au

B

c D

E

E

F

GHOW CAN I

ASSIMILATE

COMMUNITY

DATA?

CAN I GET

UPDATES IN

REALTIME?

I

J

A

LET’S STOP

DUPLICATING

EFFORT

I WANT TO

TRANSACT

BUSINESS

ONLINE

WHAT WILL

THE

FUTURE

SUPPLY

CHAIN BE?

IS DATA

FIT FOR

PURPOSE?

HOW CAN I

TRUST

COMMUNITY

DATA?

HOW CAN I

BETTER

ENGAGE

WITH

COMMUNITY?

I WANT

ANSWERS

TO

COMPLEX

QUERIES

I CAN’T FIND

THE DATA

I NEED

I NEED A

NATIONAL

VIEW OF DATA

I NEED TO

SPEED UP DATA

CAPTURE

A

J

E

F

G

B

H

D

I

C

Community Data

Combining duplicate agency data sets to

achieve a single authoritative source

Automatic Data Conflation

PhD: Feiyan Yu

Automatic Feature Extraction

PhDs: Michael Borck & Richard Palmer et al (P2 Projects)

On-the-fly Federated Data Views

PhD: Jeremy Siao Him Fa

Topological

Relationships

Maintained

Improving Search and Delivery

PhDs: Tristan Reed and Elizabeth-Kate Gulland (P4.4 Project)

PhD: Chet Bing Tan

Intelligent Automatic Orchestration of WPS

WPS

Crowdsourcing a Spatial Data Infrastructure

PhD: Levi Mutambo

SDIA bottom up

Approach to SDI

A farmer submitted

“crowdsourced” pasture

biomass calibration case study

PhD: Paul Goodhue

A Trust Model for Crowdsourced Data

Social

Assessment

Discrete Geographical

Assessment Assessment

TRUST

RATING

+ =

PhD: Hamish McNair

Integrating Authoritative and Crowdsourced Data

Delivering Real time

Supply Chain Management for Sls

Research Fellow: Dr Lesley Arnold

PhD: Muhammad Azeem Sadiq

Tracking Data Provenance

Automatic Spatial Transaction Management

SurveyorDeveloperLocal Govt

PhD: Premalatha Varadharajulu

Central “Aggregating”

Agency

Cooperative Research Centres Program

GA

Links to Big

Data P4.17

J G

Spatial Data

Research: Dr David McMeekin

Sematic WebTechnologies &ArtificialIntelligence