2012DESFutureSDIs

CSIRO GOVERNMENT AND COMMERCIAL SERVICES THEME

A Future for SDIs – Using SDI Data to Understand and Link Spatially Referenced Application Data

4th Digital Earth Summit 2012 Wellington, NZ

Paul Box | Project Leader Rob Atkinson | Principal Investigator Laura Kostanski | Gazetteer Expert

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 |

The ‘Yet Another Portal’ Problem - YAP


The ‘Yet Another Portal’ Problem


The Yet Another Mashup Problem


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


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


Explicitly geospatial

Everything Happens Somewhere

Gazetteers

UNSTATS Name GRP’08 $

IND03 NTB 8,080

IND05 NTT 4,769

BPS-ID Name GER ‘08 Tpop’10

003 Nusa Tenggara Barat 111.08 1,318,840

005 Nusa Tenggara Timur 112.09 335,805

Implicitly geospatial (geo-codeable)

One real world feature - Multiple representationsidentities, versions

Spatial Data Infrastructure (SDI)


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?


Feature Instance Identifiers

This is the “tricky part”

Lets start with the practical implication…

Catchment Boundary

Area Geometry

1123343 33535.4 151.3344,-35.330…….

Catchment ExtractionRate Storage

1123343 730 300


“Distributed” referencesCatchment ExtractionRate Storage

1123343 730 300

Internet

How to ask for this entity

How to deliver this entity

Catchment Boundary Area Geometry

1123343 33535.4 151.3344,-35.330…….

Which representation?


Sensor Web (image OGC 2006)

Spatial Data Infrastructure

WFS WCS

Spatialdatabases

Services

Linked Data Web

Observation Archive(Data Warehouse)

Transactions

Data Marts Services

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

URL: spatial data accessURL: spatial data access

URL: observation data archive accessURL: observation data archive access

URL: live data accessURL: live data access

representations Basic properties provenance

Identifier Architecture

From “An Architecture for Referencing Hydrologic Concepts in Distributed Systems”, Usländer & Atkinson, (accepted).

DEMO

UNSDI Gazetteer for Social Protection in Indonesia | Paul Box |

UNSDI Gazetteer for Social Protection in Indonesia

Key gazetteer issues

Same as:

UNSDI Gazetteer for Social Protection in Indonesia

Linked data

Gazetteer framework

User

Agency YTransport

Spatial Information

StatisticalInformation API

Agency ZStatistics

API

Agency XEducation

API

UN SDI

Linked Linked Data Data

National SDI

Provide URI identifiers for use in apps


Finding source data

CSIRO. UNSDI Gazetteer for Social Protection in Indonesia

System 1System 1

Name search function

Linked Data:representations

1: resolve reference

System nSystem n

2: Use returned information to access source data

Common GazetteerIndex

SDI Data Sources

Harvest

User

WFS-G

Linked Data:usedBy

Gazetteer framework

Portal (live documentation)Portal (live documentation)

WFS (Thematic)

Agency ZStatistics


Discover Access Understand Extract, Transform, Load

Use

Time and effort

Goals

achieve fundamental, systemic improvement in information integration capability that enables more effective and cost-efficient sustained service delivery

Discover Access,

Understand

Extract Transform Load Use

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


The “game changers”

Linked Data (using the Web better)

Governance: UN-OICT, INSPIRE etc

Cloud Computing

Locally relevant global data sets

Crowd-sourcing


UNGIWG(40+ UN agencies)

Global Pulse (Pulse Lab)

UNSDI(CoE)

Eye on Earth

AusAID

UN CITOAssist Sec. Gen.

UN GGIM

UNGEGN

BIG

EU JRC

UK Location(DEFRA)

UN StatsInaSDI

(Indonesia)

OSP (RET)(Australia)

CGNA(Australia)

INSPIRE(European SDI)

UNEP

UN Secretary General

Funding agreement

Australian Gazetteer(SDI activities)

NE2I (Australia)

BoM

Agreement

Agreement

GazetteerProject

GazetteerProject

14 GoI Ministries


The institutional infrastructure

Thank youRob Atkinson | Principal Investigator

Paul Box |Project Leader

Laura Kostanski | Gazetteer ExpertDigital Productivity and Services Flagship

t +61 2 9325 3122e [email protected] www.csiro.au/gazetteer

GOVERNMENT AND COMMERCIAL SERVICES THEME

2012DESFutureSDIs

Technology

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