European Environment Agency and Linked Environment Data and how we are implementing SEIS

1. European Environment AgencyandLinked Environment Dataandhow we are implementingSEIS Søren Roug

2. The current situation • Find dataset

3. The current situation • Find dataset • Download it

4. The current situation • Find dataset • Download it • Import it

5. The current situation • Find dataset • Download it • Import it • Clean it

6. The current situation • Find dataset • Download it • Import it • Clean it • Create chart

7. Vision statement If SEIS is only about making data public and not the rest, we wouldn’t get much benefit! We want to eliminate all steps but the last! ...And we’re going to use Linked Data technology to do it

8. Solution to the data format problem • In addition to the HTML for human eyes we’re asking for a new format called RDF that machines can understand • It is a modernisation of CSV, Excel and all the other data dump formats • This is all we ask a producer to provide... and some metadata

9. No more searching on foreign sites • The remote nodes provide lists of their datasets • Called manifests or semantic sitemaps • Also in RDF format • Controlled vocabulary URLs in metadata Use any of: GEMET / AgroVoc / DBPedia / EuroVoc / UMTHES – we have created equivalence links between them • The manifests are loaded into our Linked Data search engine

10. Downloading made easy! Click on the title to see if it is in the database

11. Downloading made easy Seconds later...

12. Status • EEA has deployed two search engines called Content Registry and Semantic Data Service that import all lists and all data • Content Registry is for Reportnet deliveries • Semantic Data Service is for published datasets • We have created RDF of several data sets: Reportnet, GEMET, EUNIS, ROD, ITIS, NUTS, NACE etc. • We can also load Eurostat SDMX data via the LATC project

13. Queries

14. Example of SPARQL query Future prospects for the European otter (From Reportnet) PREFIX art17: <http://rdfdata.eionet.europa.eu/art17/ontology/> PREFIX eea: <http://rdfdata.eionet.europa.eu/eea/ontology/> SELECT ?country ?region ?future WHERE { [] art17:forSpecies <http://eunis.eea.europa.eu/species/1435>; art17:hasRegionalReport ?report. ?report art17:conclusion_future ?future; art17:forCountry ?curl; art17:region ?bgregion. ?bgregion eea:name ?region. ?curl eea:name ?country } ORDER BY ?country ?region

15. Result: Future of the European otter

16. Comparing data: Where do EUNIS and ITIS not agree on naming? PREFIX e: <http://eunis.eea.europa.eu/rdf/species-schema.rdf#> PREFIX itis: <http://eunis.eea.europa.eu/rdf/schema.rdf#> PREFIX dwc: <http://rs.tdwg.org/dwc/terms/> SELECT ?eunisname ?eunisauthor ?itisname ?itisauthor ?usage WHERE { ?eunisurl e:validName 1; e:sameSynonym ?itisurl; e:binomialName ?eunisname; dwc:scientificNameAuthorship ?eunisauthor. ?itisurl itis:nameUsage "invalid",?usage; itis:completename ?itisname; itis:hasAuthor ?auurl. ?auurl itis:shortAuthor ?itisauthor }

17. Results

18. Visualisations

19. Water use per NUTS level 2 in 2007Top 20 Combination of two Eurostat SDMX datasets

20. PREFIX qb: <http://purl.org/linked-data/cube#> PREFIX e: <http://ontologycentral.com/2009/01/eurostat/ns#> PREFIX sdmx-measure: <http://purl.org/linked-data/sdmx/2009/measure#> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX g: <http://eurostat.linked-statistics.org/ontologies/geographic.rdf#> PREFIX dataset: <http://eurostat.linked-statistics.org/data/> SELECT ?nuts2 SUM(xsd:decimal(?obsvalue)) AS ?population ?wateruse xsd:decimal(?wateruse)*1000000/SUM(xsd:decimal(?obsvalue)) AS ?percapita WHERE { ?observation qb:dataset dataset:demo_r_pjanaggr3 ; e:time <http://eurostat.linked-statistics.org/dic/time#2007>; e:age <http://eurostat.linked-statistics.org/dic/age#TOTAL>; e:sex <http://eurostat.linked-statistics.org/dic/sex#T>; e:geo ?ugeo; sdmx-measure:obsValue ?obsvalue. ?ugeo g:hasParentRegion ?parent. ?parent g:code ?nuts2. ?wuregion qb:dataset dataset:env_n2_wu ; e:geo ?parent; e:cons <http://eurostat.linked-statistics.org/dic/cons#W18_2_7_2>; e:time <http://eurostat.linked-statistics.org/dic/time#2007>; sdmx-measure:obsValue ?wateruse. } GROUP BY ?nuts2 ?wateruse ORDER BY DESC(?percapita) LIMIT 20

21. GHG per capita 1990-2009

22. PREFIX qb: <http://purl.org/linked-data/cube#> PREFIX e: <http://ontologycentral.com/2009/01/eurostat/ns#> PREFIX sdmx-measure: <http://purl.org/linked-data/sdmx/2009/measure#> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX g: <http://eurostat.linked-statistics.org/ontologies/geographic.rdf#> PREFIX dataset: <http://eurostat.linked-statistics.org/data/> SELECT ?country ?year ?population ?ghgtotal xsd:decimal(?ghgtotal)*1000/(xsd:decimal(?population)) AS ?percapita FROM <http://eurostat.linked-statistics.org/data/demo_pjanbroad.rdf> FROM <http://eurostat.linked-statistics.org/data/env_air_gge.rdf> FROM <http://semantic.eea.europa.eu/home/roug/eurostatdictionaries.rdf> WHERE { ?popobs qb:dataset dataset:demo_pjanbroad ; e:time ?uyear; e:freq <http://eurostat.linked-statistics.org/dic/freq#A>; e:age <http://eurostat.linked-statistics.org/dic/age#TOTAL>; e:sex <http://eurostat.linked-statistics.org/dic/sex#T>; e:geo ?ucountry; sdmx-measure:obsValue ?population. ?ghgobs qb:dataset dataset:env_air_gge ; e:geo ?ucountry; e:time ?uyear; e:airsect <http://eurostat.linked-statistics.org/dic/airsect#TOT_X_5>; sdmx-measure:obsValue ?ghgtotal. ?ucountry skos:prefLabel ?country. ?uyear skos:prefLabel ?year } ORDER BY ?country ?year

23. The end Søren Roug European Environment Agency Soren.Roug@eea.europa.eu