Technology Advancements in the Next Generation of Domain Agnostic Spatial Data InfrastructuresPavel Golodoniuc | Computer scientist8 April 2013

CSIRO EARTH SCIENCE AND RESOURCE ENGINEERING

Pavel Golodoniuc1, Terry Rankine1, Paul Box2, Rob Atkinson2 and Laura Kostanski3

1 CSIRO Earth Science and Resource Engineering, Australia2 CSIRO Land and Water, Australia3 CSIRO Mathematics, Informatics and Statistics, Australia

What are they?

“Yet Another Portal” (YAP) syndrome

What do we get?

Spatial Data Infrastructures (SDIs)

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Semantic aspects are often neglected:– Need to know a lot about data before it can be accessed: FeatureType and

vocabularies in use– Top-down semantics (e.g. INSPIRE) leads to islands of interoperability

Interoperability between autonomous SDI domains?

More importantly, how are SDI s to be used?– spatial representations relevant to GIS– citable identifiers for business data: geostatistical information

Semantics

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Inadequate handling of feature level metadata

Features are insufficiently integrated with other systems

Interdomain cross-walks

What else is missing?

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Spatial Identifier Reference Framework:Linked Data approach

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Proposed Linked Data approach reconciles “data set” view and feature level identifiers – Allows linkage from data in “business” systems to SDI information resources

Relies upon Unique Resource Identifiers (URIs) to access feature information using traditional SDI data access interfaces

“Spatial bookmarks” link multiple representations of the same feature in different layers of a traditional SDI

“Lineage” metadata in an executable form – semantics of dataset dependencies

Linked Data approach

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

SIRF implements an approach for identifying spatial features in a Linked Data context.

Globally scalable approach that can link and integrate autonomous national and regional spatial data infrastructures (SDIs)– including those with domain-specific functions

SIRF allows discovery of the feature type and the source service for data

Schema and content mapping of source data models to the SIRF standard model provides vital provenance metadata

Spatial Identifier Reference Framework (SIRF)

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Same identifier different views

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

SISS provides capability to map multiple sources into one structure.

SISS is assisting in building national SDIs.

SIRF is using it to link between the layers of SDIs and between SDIs.

Example:Indonesian Gazetteer

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

One real world feature:a bus station

Represented in multiple systems using different names, and classified

and represented in different ways

MerakTerminus Dataset

Merak, Stasiun BisGazetir Indeonesia

GAZETTER FRAMEWORK

Links gazetteers (based on same feature in different gazetteers)

used in web applications and other online resources.

Passenger Travel Stats Application Linked Resource

Merak(Gazetteer Entry)

Terminus Dataset(Gazetteer)

Merak, Stasiun Bis(Gazetteer Entry)

Gazetir Indonesia(Gazetteer)

Online Public Transport MapLinked Resource

Same as

Navigation applicationLinked Resource

BIG National Gazetteer of

Indonesia

Department of Transport Gazetteer of Bus Terminals

Currently systems are disconnectedand difficult to integrate

IdentifierMerak, Stasiun Bis

IdentifierMerak

Feature TypeTransport

Feature Type Terminal

FootprintPoint

FootprintPolygon

Used in

ExampleMerak bus station

Used in

SIRF and Spatial Information Services Stack (SISS)

The Spatial Identifier Reference Framework specifies open standards– Accessibility demands free reference implementations

Two components of SISS are being used:

– Vocabulary management provided through semantic services (SISSVoc)

– Linked Identifiers delivered through a flexible URI redirection tool:– the Persistent Identifier Service

Feature Type Catalog

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

Watch this space!

New!

The Spatial Information Services Stack

Pavel Golodoniuc et al. | Technology Advancements in the Next Generation of Domain Agnostic Spatial Data Infrastructures

SIRF

UNSDI Gazetteer for Social Protection in Indonesia | Paul Box | Page 13

For more information

See the SIRF API:https://wiki.csiro.au/display/UNSDI/The+SIRF+API

How standard APIs can be used in semantic context New APIs to standardised access to semantic content

Thank youCSIRO ESREPavel GolodoniucComputer scientistt +61 8 6436 8776e pavel.golodoniuc@csiro.auw www.csiro.au/cesre

CSIRO EARTH SCIENCE AND RESOURCE ENGINEERING

CSIRO LWPaul BoxSpatial Identifier Reference Framework (SIRF) for Social Protection in Indonesia Project Leadert +61 2 9325 3122e paul.j.box@csiro.auw www.csiro.au/clw