european environment agency and linked environment data and how we are implementing seis
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European Environment Agency and Linked Environment Data and how we are implementing SEIS. Søren Roug. The current situation. Find dataset. The current situation. Find dataset Download it. The current situation. Find dataset Download it Import it. The current situation. Find dataset - PowerPoint PPT PresentationTRANSCRIPT
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European Environment Agencyand
Linked Environment Dataand
how we are implementingSEIS
Søren Roug
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The current situation
• Find dataset
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The current situation
• Find dataset
• Download it
![Page 4: European Environment Agency and Linked Environment Data and how we are implementing SEIS](https://reader036.vdocuments.site/reader036/viewer/2022062519/56814cb6550346895db9c19e/html5/thumbnails/4.jpg)
The current situation
• Find dataset
• Download it
• Import it
![Page 5: European Environment Agency and Linked Environment Data and how we are implementing SEIS](https://reader036.vdocuments.site/reader036/viewer/2022062519/56814cb6550346895db9c19e/html5/thumbnails/5.jpg)
The current situation
• Find dataset
• Download it
• Import it
• Clean it
![Page 6: European Environment Agency and Linked Environment Data and how we are implementing SEIS](https://reader036.vdocuments.site/reader036/viewer/2022062519/56814cb6550346895db9c19e/html5/thumbnails/6.jpg)
The current situation
• Find dataset
• Download it
• Import it
• Clean it
• Create chart
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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
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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
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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
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Downloading made easy!
Click on the title to see if it is in the database
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Downloading made easy
Seconds later...Seconds later...
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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
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Queries
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Example of SPARQL queryFuture 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
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Result: Future of the European otter
country region future
Austria Alpine Inadequate (U1)
Austria Continental Inadequate (U1)
Belgium Atlantic Bad (U2)
Belgium Continental Bad but improving (U2+)
Czech Republic Continental Favourable (FV)
Czech Republic Pannonian Favourable (FV)
Estonia Boreal Favourable (FV)
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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}
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Results
eunisname eunisauthor itisname itisauthor usage
Chondrocladia alaskensis
Lambe,1900 Chondrocladia alaskensis
Lambe 1895 invalid
Myxilla parasitica (Lambe,1900) Myxilla parasitica Lambe 1893 invalid
Hymedesmia primitiva
Lundbeck,1910 Hymedesmia primitiva
Lundbeck 1910 invalid
Asbestopluma lycopodium
(Levinsen,1886) Asbestopluma lycopodium
Levinsen 1886 invalid
Esperiopsis rigida
Lambe,1900 Esperiopsis rigida Lambe 1893 invalid
Cordylophora lacustris
Allman, 1844 Cordylophora lacustris
Allman 1844 invalid
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Visualisations
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Water use per NUTS level 2 in 2007Top 20
Combination of twoEurostat SDMX datasets
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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 ?percapitaWHERE { ?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
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GHG per capita 1990-2009
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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 ?percapitaFROM <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