This presentation was made during the a tutorial "A practical introduction to Linked Data: lift tour data" organised by IGN (France), EURECOM, UPM, Ordnance Survey, within the INSPIRE conference in Istanbul, from june 23th - june 27th.

1. Lift your data
Introduction to Linked Data
Ghislain Atemezing1 , Boris Villazón-Terrazas2
1 EURECOM, France
auguste.atemezing@eurecom.fr
2 Ontology Engineering Group, FI, UPM
bvillazon@fi.upm.es
Slides available at: http://www.slideshare.net/atemezing/
INSPIRE Conference 2012, Istanbul
Acknowledgements: Oscar Corcho, Asunción Gómez-Pérez, Luis
Vilches, Raphaël Troncy, Olaf Hartig, Luis Vilches and many others
that we may have omitted.
Workdistributed under the license Creative Commons Attribution-
Noncommercial-Share Alike 3.0

2. Agenda
 Linked Data
 Geospatial LD Datasets
 5-star deployment scheme for Linked Open Data
Tu torial “Lift you r d ata”, Is tanb u l 201 2 2

3. Agenda
 Linked Data
 Geospatial LD Datasets
 5-star deployment scheme for Linked Open Data
Tu torial “Lift you r d ata”, Is tanb u l 201 2 3

4. C urrent Web
Geospatial
Database
(Spain)
Data exposed to the
Web via HTML, pdf,
etc.
Statistical
Database
(Spain)
© Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig
Tu torial “Lift you r d ata”, Is tanb u l 201 2 4

5. Information from
single pages
can be found via
search engines
© Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig
Tu torial “Lift you r d ata”, Is tanb u l 201 2 5

6. Complex queries
over multiple
pages/data
sources?
© Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig
Tu torial “Lift you r d ata”, Is tanb u l 201 2 6

7. What do we actually want?
• U s e th e We b like a s ingle glob al d atab as e
• we b of d ocu m e nts -> we b of d ata
Geospatial Statistical
Database
Database
(Spain) (Spain)
© Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig
7
Tu torial “Lift you r d ata”, Is tanb u l 201 2 7

8. Linked Data enables s uch Web of Data
Global Identifier: URI (U niform R e s ou rce Id e ntifie r), wh ich is a s tring of ch aracte rs u s e d
to id e ntify a nam e or a re s ou rce on th e Inte rne t.
Data Model: RDF (R e s ou rce D e s crip tion F ram e work), wh ich is a s tand ard m od e l
for d ata inte rch ange on th e We b
A cces s Mechanis m: HTTP
C onnection: Typed Links
180.23
“Madrid”
h ttp :/ .../ e as u re _ qu antity
/ m
h ttp :/ .../
/ nam e
h ttp :/ .../ late d ToAre a
/ re
http://…/industry_2009
http://../Madrid
Geospatial Statistical
Database Database
(Spain) (Spain)
© Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig
Tu torial “Lift you r d ata”, Is tanb u l 201 2 8

9. The four principles (Tim Berners Lee, 2006)
 http://www.w3.org/Des ignIs s ues /LinkedData.
1. Use URIs as names html
for things  http://www.ted.com/talks /tim_berners _lee_on
2. Use HTTP URIs so _the_next_web.html
that people can look
up those names.
3. When someone looks
up a URI, provide
useful information,
using the standards
(RDF*, SPARQL)
4. Include links to other
URIs, so that they can
discover more things.
Tu torial “Lift you r d ata”, Is tanb u l 201 2 9

10. Resource Description Framework (RDF)
• RDF is a basic KR language based on semantic networks
• Useful to represent metadata and describe any type of
information in a machine-accesible way.
property
Subject Object
S tatement
“Madrid”
rdfs:label
geoes:isPartOf
ignes:Madrid ignes:Spain
geoes:isPartOf dbpedia:population
1.027.914
ignes:Murcia
Tu torial “Lift you r d ata”, Is tanb u l 201 2 10

11. RDF - SPARQL
“Boris Villazón Terrazas”
person:hasName
person:hasColleague
upm:Boris eurecom:Ghislain
person:hasColleague
eurecom:Raphael “Male”
person:hasSex
• Query: “Tell me who are the persons who have Ghislain as colleague”
person:hasColleague
? eurecom:Ghislain
• Result: upm:Boris and eurecom:Raphael
• SPARQL query language for RDF. W3C recommendation
SELECT ?s
WHERE { ?s person:hasColleague eurecom:Ghislain . }
Tu torial “Lift you r d ata”, Is tanb u l 201 2 11

12. Evolution of the Linked Open Data
 2007
 2008
 2009
 2010
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13. Linked Open Data
2011
31 d atas e ts
1 9.43% trip le s
http://lod-c loud.net/s tate
Linking Open Data cloud diagram, by Richard C yganiak and A nja J entzs ch. http://lod-cloud.net/
Tu torial “Lift you r d ata”, Is tanb u l 201 2 13

14. Agenda
 Linked Data
 Geospatial LD Datasets
 5-star deployment scheme for Linked Open Data
Tu torial “Lift you r d ata”, Is tanb u l 201 2 14

15. G eoData is becoming increas ingly relevant
• D atas e ts in th e ge os p atial d om ain contrib u te m ore
th an one fifth of th e R D F trip le s in th e We b of D ata.
• We ll-know G e o LD d atas e ts
• O rd nance S u rve y
• G e oLinke d D ata
• Linke d G e oD ata
• G e oN am e s
• D BP e d ia
• G D AM -R D F
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16. Ordnance S urvey http://data.ordnances urvey.c o.uk
• Top ic: Ad m inis trative u nits
• D atas e ts : Th e ad m inis trative gaze e te r for G re at
Britain.
• U R I p atte rn: h ttp :/ d ata.ord nance s u rve y.co.u k/ / }
/ id {id
• Vocab u lary: S p atial R e lations O ntology,
Ad m inis trative G e ograp h y O ntology, WG S 84, F O AF ,
and G aze e te r O ntology
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17. GeoLinkedData http://geo.linkeddata.es /
• Top ic: H yd rograp h y, Ad m inis trative u nits , s tatis tical
inform ation, m e te orological fe atu re s
• D atas e ts : S tatis tical, ge os p atial, and m e te orological
d ata.
• U R I p atte rn:
• h ttp :/ ge o.linke d d ata.e s /
/ ontology/ {conce p t|p rop e rty}
• h ttp :/ ge o.linke d d ata.e s / s ou rce / e }/
/ re {typ {nam e }
• Vocab u lary: S C O VO , F AO G e op olitical,
h yd rO ntology, WS G 84, G e oLinke d D ata G e om e try
M od e l, and Tim e O ntology.
Tu torial “Lift you r d ata”, Is tanb u l 201 2 17

18. LinkedGeoData http://linkedgeodata.org/
• Top ic: P oints of inte re s t
• D atas e ts : O p e nS tre e tM ap d atab as e
• U R I p atte rn: h ttp :/ linke d ge od ata.org/ lify/ }
/ trip {id
• Vocab u lary: LG D O ntology, WG S 84, N e oG e o
Tu torial “Lift you r d ata”, Is tanb u l 201 2 18

19. GeoNames http://www.geonames .org/
• Top ic: Top onym s
• D atas e ts : D atas e ts u s e d b y ge onam e s
• U R I p atte rn: h ttp :/ s ws .ge onam e s .org/ }
/ {id
• Vocab u lary: G e oN am e s O ntology, WG S 84
Tu torial “Lift you r d ata”, Is tanb u l 201 2 19

20. DBPedia http://dbpedia.org/
• Top ic: G e ne ral knowle d ge
• D atas e ts : Wikip e d ia
• U R I p atte rn: h ttp :/ d b p e d ia.org/ s ou rce /
/ re {nam e }
• Vocab u lary: D BP e d ia ontology, WG S 84
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21. GADM-RDF http://gadm.geovocab.org/
• Top ic: G lob al ad m inis trative are as
• D atas e ts : cou ntrie s and lowe r le ve l s u b d ivis ions .
• U R I p atte rn: h ttp :/ gad m .ge ovocab .org/ / }
/ id {id
• Vocab u lary: gad m ontology, N e oG e o O ntology,
D BP e d ia ontology, WG S 84
- 21
Tu torial “Lift you r d ata”, Is tanb u l 201 2 21

22. Agenda
 Linked Data
 Geospatial LD Datasets
 5-star deployment scheme for Linked Open Data
- 22
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23. The Five Stars deploymet scheme
Is you r d ata five s tars ?
h ttp :/ lab .linke d d ata.d e ri.ie / 0/ tar-s ch e m e -b y-e xam p le /
/ 201 s
- 23
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24. One Star: Open Data & Open License
http://opendefinition.org/licenses/
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25. Two stars: Reusability
• D ata are re u s ab le
• S om e form ats are h e lp fu l
• E xce l, C S V, JS O N , X M L, G M L
• O th e rs not re ally
• P D F , H TM L, M S Word
Credit: Bernadette Hyland : http://www.slideshare.net/3roundstones
Tu torial “Lift you r d ata”, Is tanb u l 201 2 25

26. Three stars: Specialist formats
• S p e cialis t tools ofte n h ave s p e cialis t form ats
• F e w p e op le h ave th e tools
• E xp e ns ive
• D ifficu lt to re -u s e
• G e os p atial tools , s tatis tical p ackage s , e tc..
• U s e O p e n s tand ard s
• C S V, JS O N , X M L, G M L, O G C We b s e rvice s , TS V, R D F
Credit: Richard Ciganiak: http://www.slideshare.net/cygri/edf2012-the-web-of-data-and-its-five-stars
Tu torial “Lift you r d ata”, Is tanb u l 201 2 26

27. Towards INSPIRE (5-Stars) Dataset?
* IN S P IR E G e oP ortal (to find d atas e ts ) SKOS Glossary for Spatial
*
h ttp :/ ins p ire -ge op ortal.e c.e u rop a.e u / is cove ry/
/ d Data Infrastructure:
http://semanticlab.jrc.ec.europa.eu/
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28. h ttp :/ www.flickr.com / h oto s /
/ p wwwo rks /4759535950/
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29. Some references
Wood, David (Ed) Linking Government Data - 2011
Methodological Guidelines for Publishing Government Linked Data
Boris Villazó n-Terrazas, Luis M. Vilches, Oscar Corcho, Asunció n Gó mez-Pé rez
Best Practices for Publishing Linked Data
W3C Editor’s Draft – Government Linked Data Working Group
Bernadette Hyland, Boris Villazó n-Terrazas, Michael Hausenblas,
https://dvcs.w3.org/hg/gld/raw-file/default/bp/index.html
Cookbook for Open Government Linked Data
W3C Editor’s Draft – Government Linked Data Working Group
Bernadette Hyland, Boris Villazó n-Terrazas, Sarven Capadisli
http://www.w3.org/2011/gld/wiki/Linked_Data_Cookbook
Tu torial “Lift you r d ata”, Is tanb u l 201 2 29

30. Lift your data
Introduction to Linked Data
Ghislain Atemezing1 , Boris Villazón-Terrazas2
1 EURECOM, France
auguste.atemezing@eurecom.fr
2 Ontology Engineering Group, FI, UPM
bvillazon@fi.upm.es
Slides available at: http://www.slideshare.net/boricles/
INSPIRE Conference 2012, Istanbul
Acknowledgements: Oscar Corcho, Asunción Gómez-Pérez, Luis
Vilches, Raphaël Troncy, Olaf Hartig, Luis Vilches and many others
that we may have omitted.
Workdistributed under the license Creative Commons Attribution-
Noncommercial-Share Alike 3.0