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A Future for SDIs – Using SDI Data to Understand and Link Spatially
Referenced Application Data
Paul Box | Project Leader
Rob Atkinson | Principal Investigator
Laura Kostanski | Gazetteer Expert
4th Digital Earth Summit 2012 Wellington, NZ
CSIRO GOVERNMENT AND COMMERCIAL SERVICES THEME
Overview
•
•
•
•
•
•
•

The YAP problem
Use of Geographic References
Getting the granularity right
Multiple representations
Using Linked Data to index SDI resources
Using Linked Data to connect SDI and Application data
Goals and game-changers

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 2
The ‘Yet Another Portal’ Problem - YAP

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 3
The ‘Yet Another Portal’ Problem

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 4
The Yet Another Mashup Problem

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 5
Queensland floods:
27 online map sites
• Media
• Government
• NGO

6 alert and community report sites
Social media
• 7 twitter feeds
• 2 face book pages

All relate to place
multi sources
multiple channels
cannot easily integrate
A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 6
SDIs and YAP syndrome
Portals, portals everywhere ...
• Everybody seems to have one
• They all function differently
• Designed for humans

Focussed on specific communities
• Often contain implicit contracts, accessible only to those in the
know (eg. naming conventions)
• Interoperability between domains not considered.

Focussed on suppliers, NOT users
• Sometimes provide sophisticated tools for publishing data
• More often have a low entry level for suppliers
• Users have to wade through lists of results

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 7
Everything Happens Somewhere
Implicitly geospatial
(geo-codeable)

Explicitly geospatial
Gazetteers

UNSTATS

Name

GRP’08 $

IND03

NTB

8,080

IND05

NTT

4,769

BPS-ID

GER ‘08

Tpop’10

003

Nusa Tenggara Barat

111.08

1,318,840

005

Spatial Data Infrastructure (SDI)

Name
Nusa Tenggara Timur

112.09

335,805

One real world feature - Multiple representations
identities, versions

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 8
The “granularity problem”
Problem: metadata about data sets doesn’t help you understand a
specific reference.
SDIs currently focus on metadata at a set level
Users often need data and metadata for an instance
How do we find the metadata held at the data set level?
But which data set?

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 9
Feature Instance Identifiers
This is the “tricky part”
Lets start with the practical implication…
Catchment

ExtractionRate

Storage

1123343

730

300

Catchment
Boundary

Area

Geometry

1123343

33535.4

151.3344,35.330…….

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 10
“Distributed” references
Catchment

ExtractionRate

Storage

1123343

730

300

How to ask for this entity

Internet

How to deliver this entity
Catchment Boundary Area

Geometry

1123343

151.3344,-35.330…….

33535.4
Which representation?

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 12
Linked Data Web
From “An Architecture for Referencing Hydrologic
Concepts in Distributed Systems”, Usländer &
Atkinson, (accepted).

http://water.gov.au/id/catchment/567
http://water.gov.au/id/catchment/567

representations

Basic properties

Identifier Architecture

provenance

URL: spatial data access
URL: spatial data access
URL: observation data archive access
URL: observation data archive access

Data Marts
Transactions

URL: live data access
URL: live data access

Services

Observation
Archive
(Data Warehouse)
WFS

WCS

Services
Spatial
databases

Sensor Web (image OGC 2006)

Spatial Data Infrastructure
DEMO

UNSDI Gazetteer for Social Protection in Indonesia | Paul Box | Page 14
UNSDI Gazetteer for Social Protection in Indonesia
UNSDI Gazetteer for Social Protection in Indonesia
Key gazetteer issues
Same as:
UNSDI Gazetteer for Social Protection in Indonesia
Linked data
Agency X
Education
Statistical
Information

API

Agency Y
Transport

API

Agency Z
Statistics

API

Linked
Data

Provide URI identifiers for use in apps
Spatial
Information

Gazetteer
framework

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 21

User

UN SDI
National SDI
Finding source data
1: resolve reference
User

Portal (live documentation)
Portal (live documentation)

Linked Data:
Linked Data:
representations usedBy

2: Use returned information
to access source data

Name search
function

WFS (Thematic)

WFS-G

Common
Gazetteer
Index

Gazetteer framework

Agency Z
Statistics

st
arve
H

System 11
System

SDI Data
Sources

CSIRO. UNSDI Gazetteer for Social Protection in Indonesia

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 22

System nn
System
Goals
achieve fundamental, systemic improvement in
information integration capability that enables more
effective and cost-efficient sustained service delivery
Discover Access, Extract Transform Load

Discover Access

Extract, Transform, Load

Use

Use

Understand

Time and effort
Understand

Gazetteer framework - enable place names used
in different systems to be registered and used to
reference and integrate other information

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 23
The “game changers”
Linked Data (using the Web better)
Governance: UN-OICT, INSPIRE etc
Cloud Computing
Locally relevant global data sets
Crowd-sourcing

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 24
The institutional infrastructure
UNGIWG

(40+ UN agencies)

UNSDI
(CoE)

Global Pulse
(Pulse Lab)

UN CITO

UN Stats

UN Secretary
General

Gazetteer
Gazetteer
Project
Project

UN GGIM

UNGEGN
Assist Sec. Gen.

InaSDI
(Indonesia)

14 GoI
Ministries

BIG

Agreement
Agreement

AusAID

Funding
agreement

OSP (RET)
(Australia)

UK Location
(DEFRA)

CGNA
(Australia)

UNEP
Eye on Earth

EU JRC
INSPIRE
(European SDI)

BoM
NE2I
(Australia)

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 25

Australian Gazetteer
(SDI activities)
Thank you

Rob Atkinson | Principal Investigator
Paul Box |Project Leader
Laura Kostanski | Gazetteer Expert
Digital Productivity and Services Flagship
t +61 2 9325 3122
e paul.j.box@csiro.au
w www.csiro.au/gazetteer
GOVERNMENT AND COMMERCIAL SERVICES THEME

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2012DESFutureSDIs

  • 1. A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data Paul Box | Project Leader Rob Atkinson | Principal Investigator Laura Kostanski | Gazetteer Expert 4th Digital Earth Summit 2012 Wellington, NZ CSIRO GOVERNMENT AND COMMERCIAL SERVICES THEME
  • 2. Overview • • • • • • • The YAP problem Use of Geographic References Getting the granularity right Multiple representations Using Linked Data to index SDI resources Using Linked Data to connect SDI and Application data Goals and game-changers A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 2
  • 3. The ‘Yet Another Portal’ Problem - YAP A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 3
  • 4. The ‘Yet Another Portal’ Problem A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 4
  • 5. The Yet Another Mashup Problem A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 5
  • 6. Queensland floods: 27 online map sites • Media • Government • NGO 6 alert and community report sites Social media • 7 twitter feeds • 2 face book pages All relate to place multi sources multiple channels cannot easily integrate A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 6
  • 7. SDIs and YAP syndrome Portals, portals everywhere ... • Everybody seems to have one • They all function differently • Designed for humans Focussed on specific communities • Often contain implicit contracts, accessible only to those in the know (eg. naming conventions) • Interoperability between domains not considered. Focussed on suppliers, NOT users • Sometimes provide sophisticated tools for publishing data • More often have a low entry level for suppliers • Users have to wade through lists of results A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 7
  • 8. Everything Happens Somewhere Implicitly geospatial (geo-codeable) Explicitly geospatial Gazetteers UNSTATS Name GRP’08 $ IND03 NTB 8,080 IND05 NTT 4,769 BPS-ID GER ‘08 Tpop’10 003 Nusa Tenggara Barat 111.08 1,318,840 005 Spatial Data Infrastructure (SDI) Name Nusa Tenggara Timur 112.09 335,805 One real world feature - Multiple representations identities, versions A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 8
  • 9. The “granularity problem” Problem: metadata about data sets doesn’t help you understand a specific reference. SDIs currently focus on metadata at a set level Users often need data and metadata for an instance How do we find the metadata held at the data set level? But which data set? A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 9
  • 10. Feature Instance Identifiers This is the “tricky part” Lets start with the practical implication… Catchment ExtractionRate Storage 1123343 730 300 Catchment Boundary Area Geometry 1123343 33535.4 151.3344,35.330……. A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 10
  • 11. “Distributed” references Catchment ExtractionRate Storage 1123343 730 300 How to ask for this entity Internet How to deliver this entity Catchment Boundary Area Geometry 1123343 151.3344,-35.330……. 33535.4
  • 12. Which representation? A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 12
  • 13. Linked Data Web From “An Architecture for Referencing Hydrologic Concepts in Distributed Systems”, Usländer & Atkinson, (accepted). http://water.gov.au/id/catchment/567 http://water.gov.au/id/catchment/567 representations Basic properties Identifier Architecture provenance URL: spatial data access URL: spatial data access URL: observation data archive access URL: observation data archive access Data Marts Transactions URL: live data access URL: live data access Services Observation Archive (Data Warehouse) WFS WCS Services Spatial databases Sensor Web (image OGC 2006) Spatial Data Infrastructure
  • 14. DEMO UNSDI Gazetteer for Social Protection in Indonesia | Paul Box | Page 14
  • 15. UNSDI Gazetteer for Social Protection in Indonesia
  • 16. UNSDI Gazetteer for Social Protection in Indonesia
  • 18.
  • 20. UNSDI Gazetteer for Social Protection in Indonesia
  • 21. Linked data Agency X Education Statistical Information API Agency Y Transport API Agency Z Statistics API Linked Data Provide URI identifiers for use in apps Spatial Information Gazetteer framework A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 21 User UN SDI National SDI
  • 22. Finding source data 1: resolve reference User Portal (live documentation) Portal (live documentation) Linked Data: Linked Data: representations usedBy 2: Use returned information to access source data Name search function WFS (Thematic) WFS-G Common Gazetteer Index Gazetteer framework Agency Z Statistics st arve H System 11 System SDI Data Sources CSIRO. UNSDI Gazetteer for Social Protection in Indonesia A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 22 System nn System
  • 23. Goals achieve fundamental, systemic improvement in information integration capability that enables more effective and cost-efficient sustained service delivery Discover Access, Extract Transform Load Discover Access Extract, Transform, Load Use Use Understand Time and effort Understand Gazetteer framework - enable place names used in different systems to be registered and used to reference and integrate other information A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 23
  • 24. The “game changers” Linked Data (using the Web better) Governance: UN-OICT, INSPIRE etc Cloud Computing Locally relevant global data sets Crowd-sourcing A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 24
  • 25. The institutional infrastructure UNGIWG (40+ UN agencies) UNSDI (CoE) Global Pulse (Pulse Lab) UN CITO UN Stats UN Secretary General Gazetteer Gazetteer Project Project UN GGIM UNGEGN Assist Sec. Gen. InaSDI (Indonesia) 14 GoI Ministries BIG Agreement Agreement AusAID Funding agreement OSP (RET) (Australia) UK Location (DEFRA) CGNA (Australia) UNEP Eye on Earth EU JRC INSPIRE (European SDI) BoM NE2I (Australia) A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data| Paul Box | Page 25 Australian Gazetteer (SDI activities)
  • 26. Thank you Rob Atkinson | Principal Investigator Paul Box |Project Leader Laura Kostanski | Gazetteer Expert Digital Productivity and Services Flagship t +61 2 9325 3122 e paul.j.box@csiro.au w www.csiro.au/gazetteer GOVERNMENT AND COMMERCIAL SERVICES THEME

Notas del editor

  1. We have come a long way from business unit silos to organisational silos to community initiative silos – each with its own portal. Portals are catalogue of data sets focused on meeting the discovery use case Issues with portals: provided limited access to catalogued data products are supply driven and not designed around use cases granularity of metadata
  2. The outcomes may be describe as providing a scalable geographic dimension to the Linked Data Web. At the heart of the project is the “application data” and how this is supported by SDIs
  3. Some more detail on how it all works technically – open standard interfaces supported specific functions: name lookup, finding representations and finding relations to other data.
  4. II is about social as well as technical infrastructure A lot of stakeholders of course – simple technology but complex governance.