Boris Villazón-Terrazas, Ghislain Atemezing FI, UPM, EURECOM, Introduction to Linked Data

Agenda  Linked Data  Geospatial LD Datasets  INSPIRE and LD  INSPIRE  INSPIRE and LD  Some Initiatives 24/06/ Tutorial “Lift your data”, Istanbul 2012

Agenda  Linked Data  Geospatial LD Datasets  INSPIRE and LD  INSPIRE  INSPIRE and LD  Some Initiatives 24/06/ Tutorial “Lift your data”, Istanbul 2012

Current Web - 4 Weather stations (Spain) Statistical Database (Spain) Data exposed to the Web via HTML, pdf, etc. © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012

24/06/ Information from single pages can be found via search engines © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012

24/06/ © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Complex queries over multiple pages/data sources? Tutorial “Lift your data”, Istanbul 2012

What do we actually want?  Use the Web like a single global database  web of documents -> web of data 7 Statistical Database (Spain) Weather stations (Spain) © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig

Linked Data enables such Web of Data - 8 Statistical Database (Spain) Weather stations (Spain) Global Identifier: URI (Uniform Resource Identifier), which is a string of characters used to identify a name or a resource on the Internet. Data Model: RDF (Resource Description Framework), which is a standard model for data interchange on the Web “Unemployment in Madrid” Access Mechanism: HTTP Connection: Typed Links © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012

The four principles (Tim Berners Lee, 2006) 24/06/ Use URIs as names for things 2.Use HTTP URIs so 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.  html  _the_next_web.html Tutorial “Lift your data”, Istanbul 2012

24/06/ 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. Subject Object property Statement ignes:Madrid ignes:Spai n ignes:Murcia geoes:isPartOf dbpedia:population “Madrid” rdfs:label geoes:isPartOf Tutorial “Lift your data”, Istanbul 2012

Evolution of the Linked Open Data 11  2007  2008  2009  2010 Tutorial “Lift your data”, Istanbul 2012

Linked Open Data 12 Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch datasets 19.43% triples

Agenda  Linked Data  Geospatial LD datasets  INSPIRE and LD  INSPIRE  INSPIRE and LD  Some Initiatives 24/06/ Tutorial “Lift your data”, Istanbul 2012

GeoData is becoming increasingly relevant  Datasets in the geospatial domain contribute more than one fifth of the RDF triples in the Web of Data.  Well-know Geo LD datasets  Ordnance Survey  GeoLinkedData  LinkedGeoData  GeoNames  DBPedia  GDAM-RDF 24/06/ Tutorial “Lift your data”, Istanbul 2012

Ordnance Survey  Topic: Administrative units  Datasets: The administrative gazeeter for Great Britain.  URI pattern:  Vocabulary: Spatial Relations Ontology, Administrative Geography Ontology, WGS84, FOAF, and Gazeeter Ontology 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 15

GeoLinkedData  Topic: Hydrography, Administrative units, statistical information, meteorological features  Datasets: Statistical, geospatial, and meteorological data.  URI pattern:    Vocabulary: SCOVO, FAO Geopolitical, hydrOntology, WSG84, GeoLinkedData Geometry Model, and Time Ontology. 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 16

LinkedGeoData  Topic: Points of interest  Datasets: OpenStreetMap database  URI pattern:  Vocabulary: LGD Ontology, WGS84 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 17

GeoNames  Topic: Toponyms  Datasets: Datasets used by geonames  URI pattern:  Vocabulary: GeoNames Ontology, WGS84 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 18

DBPedia  Topic: General knowledge  Datasets: Wikipedia  URI pattern:  Vocabulary: DBPedia ontology, WGS84 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 19

GADM-RDF  Topic: Global administrative areas  Datasets: countries and lower level subdivisions.  URI pattern:  Vocabulary: gadm ontology, NeoGeo Ontology, DBPedia ontology, WGS84 25/10/2011 -Linked Data-a-thon - ISWC'2011, Bonn, Germany- 20

Agenda  Linked Data  Geospatial LD Datasets  INSPIRE and LD  INSPIRE  INSPIRE and LD  Some Initiatives 24/06/ Tutorial “Lift your data”, Istanbul 2012

INSPIRE vs LD  SIMILARITIES  Free access to (Geo)-Data  Publish data in a standardised format  GML (OGC ) vs RDF (W3C)  Generate TRANSPARENCY, INNOVATION  Good for re-use  BUT…  RDF is good for 4+5 stars data  INSPIRE data are 2+3 stars in LD stars scale  Need to link to geo features from other entities on the web.. 24/06/ Tutorial “Lift your data”, Istanbul 2012

Towards INSPIRE (semantic)- Catalogue? 24/06/ * INSPIRE GeoPortal (to find datasets) Tutorial “Lift your data”, Istanbul 2012 *SKOS Glossary for Spatial Data Infrastructure:

24/06/ Tutorial “Lift your data”, Istanbul /

Boris Villazón-Terrazas, Ghislain Atemezing FI, UPM, EURECOM, Introduction to Linked Data