Linked Environment Data and how we are implementing SEIS. Søren Roug European Environment Agency
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1 Linked Environment Data and how we are implementing SEIS Søren Roug European Environment Agency
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 Too much manual work 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 No Web Services just files
9 No more searching on foreign sites The remote nodes provide lists of their datasets Called manifests or semantic sitemaps Also in RDF format (VoID) Controlled vocabulary URLs in metadata Use any identifier, we create equivalence links between them
10 How to create equivalence links We set up correspondance tables between the URLs. This is called an ontology = Some RDF databases handle ontologies transparently. When you use one, you get the data for the other too
11 Remember this?
12 Now we can make the join
13 Downloading made easy! Click on the title to see if it is in the database
14 Downloading made easy Seconds later...
15 Status EEA has deployed two triple stores 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, ITIS, NUTS, NACE etc. We can also load Eurostat SDMX data via the LATC project
16 SDS and CR s Role EUNIS Visualisation Other Reportnet QA system SPARQL JSON RDF Querying Content Registry RDF RDF XML RDF Harvesting EUNIS ITIS Reportnet PRTR Other...
17 Queries
18 Comparing data: Where do EUNIS and ITIS not agree on naming? PREFIX e: < PREFIX itis: < PREFIX dwc: < 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 }
19 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
20 Example of SPARQL query Future prospects for the European otter (From Reportnet) PREFIX art17: < PREFIX eea: < SELECT?country?region?future WHERE { [] art17:forspecies < 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
21 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)
22 Queries on EUNIS
23 Visualisations
24 Water use per NUTS level 2 in 2007 Top 20 Combination of two Eurostat SDMX datasets
25 Linked Data in map views
26 GHG per capita
27 Søren Roug European Environment Agency
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