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Lift your data_inspire2012

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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.

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Lift your data_inspire2012

  1. 1. Lift your dataIntroduction 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, IstanbulAcknowledgements: Oscar Corcho, Asunción Gómez-Pérez, LuisVilches, 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. 2. Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open DataTu torial “Lift you r d ata”, Is tanb u l 201 2 2
  3. 3. Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open DataTu torial “Lift you r d ata”, Is tanb u l 201 2 3
  4. 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. 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. 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. 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. 8. Linked Data enables s uch Web of DataGlobal 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 bA cces s Mechanis m: HTTPC 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. 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. 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:MurciaTu torial “Lift you r d ata”, Is tanb u l 201 2 10
  11. 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. 12. Evolution of the Linked Open Data  2007  2008  2009  2010Tu torial “Lift you r d ata”, Is tanb u l 201 2 12
  13. 13. Linked Open Data2011 31 d atas e ts 1 9.43% trip le shttp://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. 14. Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open DataTu torial “Lift you r d ata”, Is tanb u l 201 2 14
  15. 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 FTu torial “Lift you r d ata”, Is tanb u l 201 2 15
  16. 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 ntologyTu torial “Lift you r d ata”, Is tanb u l 201 2 16
  17. 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. 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 oTu torial “Lift you r d ata”, Is tanb u l 201 2 18
  19. 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 84Tu torial “Lift you r d ata”, Is tanb u l 201 2 19
  20. 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 - 20Tu torial “Lift you r d ata”, Is tanb u l 201 2 20
  21. 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 - 21Tu torial “Lift you r d ata”, Is tanb u l 201 2 21
  22. 22. Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open Data - 22Tu torial “Lift you r d ata”, Is tanb u l 201 2 22
  23. 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 - 23Tu torial “Lift you r d ata”, Is tanb u l 201 2 23
  24. 24. One Star: Open Data & Open License http://opendefinition.org/licenses/Tu torial “Lift you r d ata”, Is tanb u l 201 2 24
  25. 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/3roundstonesTu torial “Lift you r d ata”, Is tanb u l 201 2 25
  26. 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. 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/ Tu torial “Lift you r d ata”, Is tanb u l 201 2 27
  28. 28. h ttp :/ www.flickr.com / h oto s / / p wwwo rks /4759535950/ - 28Tu torial “Lift you r d ata”, Is tanb u l 201 2 28
  29. 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_CookbookTu torial “Lift you r d ata”, Is tanb u l 201 2 29
  30. 30. Lift your dataIntroduction 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, IstanbulAcknowledgements: Oscar Corcho, Asunción Gómez-Pérez, LuisVilches, 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

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