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Linked Location Data as a Service

Date post: 19-Dec-2014
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Presentation based on position paper submitted for Joint W3C/OGC workshop: Linking Geospatial Data 5th - 6th March 2014, Campus London, Shoreditch http://www.w3.org/2014/03/lgd/agenda#al58 Geographic information is provided in heterogeneous formats, creating technical and semantic barriers that hinder data consumers to combine data from various sources. Linked Data design principles can help alleviate these barriers and realise three generic use cases for data consumers to consume location data as linked data. We have demonstrated the technical feasibility for this in a Linked Data pilot that integrates address data from five different public sector organisations in Belgium. The pilot demonstrates that a Linked Data layer can be built on top of an existing geospatial implementation with a minimum of effort. It also shows that URI sets for INSPIRE spatial objects and spatial things can accommodate both XML (GML) and RDF representations.
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Linked Location Data as a Service Linking Geospatial Data 5th - 6th March 2014, Google Campus London, Shoreditch Stijn Goedertier – PwC EU Services Nikolaos Loutas – PwC EU Services Vassilios Peristeras – European Commission Presentation based on position paper submitted for Joint W3C/OGC workshop: Linking Geospatial Data 5th - 6th March 2014, Campus London, Shoreditch http://www.w3.org/2014/03/lgd/agenda#al58 5 March 2014 ISA Programme, Action 1.1
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Page 1: Linked Location Data as a Service

Linked Location Data as a Service

Linking Geospatial Data5th - 6th March 2014, Google Campus London, Shoreditch

Stijn Goedertier – PwC EU ServicesNikolaos Loutas – PwC EU ServicesVassilios Peristeras – European Commission

Presentation based on position paper submitted for Joint W3C/OGC workshop: Linking Geospatial Data5th - 6th March 2014, Campus London, Shoreditchhttp://www.w3.org/2014/03/lgd/agenda#al58

5 March 2014ISA Programme, Action 1.1

Page 2: Linked Location Data as a Service

Data fragmentation

Heterogeneous data formats

Lack of common identifiers

UnlinkedLow quality

Non-interoperable

UrBIS - Brussels Capital Region

AGIV - Flanders PICC - Wallonia Civil registerNGI – National Geographic Institute

DATA CONSUMER

?

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Page 3: Linked Location Data as a Service

Core Location Vocabulary

•A simplified, reusable and extensible data model that captures the fundamental characteristics of a location, represented as an address, a geographic name, or a geometry.

•Developed in the period December 2011 – May 2012 by a multi disciplinary Working Group

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Page 4: Linked Location Data as a Service

Core Location Task Force

•co-chairs: Michael Lutz, Paul Smits, Andrea Perego (DG JRC)•editor: Phil Archer (W3C)•task force: Segun Alayande, Adam Arndt, Joseph Azzopardi, Chirsina Bapst, Serena Coetzee, Andreas Gehlert, Giorgios Georgiannakis, Anja Hopfstock, Andreas•Illert, Michaela Elisa Jackson, Morten Lind, Matthias Lüttgert, Andras Micsik, Piotr Piotrowski, Greg Potterton, Peter Schmitz, Raj Singh, Athina Trakas, Rob Walker, Stuart Williams, Peter Winstanley, ...

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Page 5: Linked Location Data as a Service

3 representation formats

RDF schema

Re-uses existing Linked Data vocabularies

ISA Open Metadata Licence v1.1IPR

Re-uses Core Components Technical Specification (CCTS).

XML schema

Conceptual modelRe-use existing concepts in CCL, INSPIRE, etc.

Maintained by W3C (W3C Location and Address Community)5

Page 6: Linked Location Data as a Service

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W3C Location and Address Community

•The W3C Location and Addresses Community Group is to review the existing efforts such as the Core Location Vocabulary and assess whether any use cases would be served by harmonization and/or new standardization work.

•It may produce specifications or use cases and requirements documents, which may be proposed for adoption by the W3C Government Linked Data (GLD) Working Group

Page 7: Linked Location Data as a Service

Core Location Pilot: https://joinup.ec.europa.eu/node/63242

LOGD INFRASTRUCTURE

UrBIS - Brussels Capital Region

CRAB - Flanders PICC - Wallonia Civil registerNGI – National Geographic Institute

DATA CONSUMER

sample address data in native format

Linked address data

Common Data models

RDF view

SPARQL endpoint

INS

PIR

E

lookup, disambiguate, link

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• XML and RDF views on relational data served over a Web interfaceXML view

Xquery,Xpath

Page 8: Linked Location Data as a Service

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Combining XML, RDF, and Linked Data

relational database

SQL Processor

XML Processo

r

Web Application Server

Web BrowserRDF Client

external database

HTTP

RDF Quad Store

OpenLink Virtuso

XML Client

SPARQL engine

Page 9: Linked Location Data as a Service

Address Identifier

Address Notation

UC2: Look up (de-reference) an address identifier

UC1: Disambiguate (reconcile) an address notation

UC3: Link datasets by means of address identifiers

Example: Chaussée de Bruxelles 135 1310 La Hulpe

Example: http://location.testproject.eu/so/ad/AddressRepresentation/SPW/248565

Three use cases for data consumers

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Page 10: Linked Location Data as a Service

UC1: Disambiguate (query) address notations

•SPARQL query on the triple store

•The query is converted into SQL and hits the relational tables of several data providers

Page 11: Linked Location Data as a Service

UC2: Resolve Web identifiers

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Page 14: Linked Location Data as a Service

Conclusions

• Core Location ánd INSPIRE AD can be used to harmonise address data from disparate systems• Core Location can be easily extended with (still experimental) INSPIRE RDF vocabularies• URI sets for INSPIRE spatial objects and spatial things can accommodate both the XML (GML) and RDF world

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Page 15: Linked Location Data as a Service

SEMIC 2014 – Athens, 9 April

http://semic.eu

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