Linked Environment Dataand

how we are implementingSEIS

Søren Roug

European Environment Agency

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

• Download it

• Import it

• Clean it

The current situation

• Find dataset

• Download it

• Import it

• Clean it

• Create chart

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

Solution to the data format problem

• In addition to the HTML for human eyes we’re asking for a new format called RDFthat 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

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

How to create equivalence links

• We set up correspondance tables between the URLs.

• This is called an ontology

http://eurostat.europa.eu/countries#UK = http://eea.europa.eu/countries.rdf#GB

• Some RDF databases handle ontologies transparently. When you use one, you get the data for the other too

Remember this?

Now we can make the join

Downloading made easy!

Click on the title to see

if it is in the database

Downloading made easy

Seconds later...

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

SDS and CR’s Role

ITIS Reportnet PRTR

Harvesting

Content

Registry

EUNIS Other...

SPARQL JSON RDF Querying

RDFRDF RDFXML

OtherVisualisationEUNIS Reportnet

QA system

Queries

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}

Results

eunisname eunisauthor itisname itisauthor usage

Chondrocladiaalaskensis

Lambe,1900 Chondrocladiaalaskensis

Lambe 1895 invalid

Myxilla parasitica (Lambe,1900) Myxilla parasitica Lambe 1893 invalid

Hymedesmiaprimitiva

Lundbeck,1910 Hymedesmiaprimitiva

Lundbeck 1910 invalid

Asbestoplumalycopodium

(Levinsen,1886) Asbestoplumalycopodium

Levinsen 1886 invalid

Esperiopsis rigida Lambe,1900 Esperiopsis rigida Lambe 1893 invalid

Cordylophoralacustris

Allman, 1844 Cordylophoralacustris

Allman 1844 invalid

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

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)

Queries on EUNIS

Visualisations

Water use per NUTS level 2 in 2007Top 20

Combination of twoEurostat SDMX datasets

Linked Data in map views

GHG per capita 1990-2009

Søren Roug

European Environment Agency

Soren.Roug@eea.europa.eu