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This presentation is about a framework for semantically-enabled data discovery and integration across multiple Earth science disciplines. Data harmonization was based on the principles of Linked Data. Previous works define the Data Cube extensions which are relevant to certain Earth science disciplines. To provide a generic and domain independent solution, we propose an upper level vocabulary (the ENVRI vocabulary) that allows us to express domain specific information at a higher level of abstraction. From a human viewpoint we provide an interactive Web based user interface for data discovery and integration across multiple research infrastructures (http://portal.envri.eu). The system is demonstrated on a use case of the Iceland Volcano’s eruption on April 10, 2010.
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Semantically-EnabledEnvironmental Data Discovery and Integration:Demonstration Using the Icelandic Volcano Use Case
Tatiana Tarasova 1 Massimo Argenti 2 Maarten Marx 1
1ISLA, University of Amsterdam
2European Space Agency
October 7, 2013System description papers, KESW 2013
Environmental Research
Example Case Study
Icelandic Volcano Eruption [6]
What was the impact of the eruption of the Icelandic Volcano(Eyjafjallajokull) in 2010 on the environment?
What data can contribute to the research?
EMSO
IAGOS-‐ERI
AURORA BOREALIS
EUFAR-‐COPAL
EPOS
EISCAT-‐3D
SIOS
LIFEWATCH
EURO-‐ARGO ICOS ATC
?
?
?
?
?
? ?
Technological and Structural Data Heterogeneity
EURO-‐ARGO ICOS ATC
Atmospheric measurements
Ocean temperature
FTP catalogues Authorized IP access
CSV NetCDF ?
Semantic Data Heterogeneity
EURO-‐ARGO ICOS ATC
Atmospheric measurements
Ocean temperature
FTP catalogues Authorized IP access
CSV NetCDF
ppm
flask
hourly measurements level 2
plaBorm
good quality
float trajectories
?
Outline
1 Motivation
2 Environmental Data Discovery
3 Environmental Data IntegrationLinked Data Approach to Environmental Data IntegrationDemonstration Using the Icelandic Volcano Case Study
Environmental Data Discovery
Approach
discover data through a single harmonized metadata catalogue
enable semantic data discovery through semantic tagging of datasets
Implementation
ENVRI portal http://portal.envri.eu
OpenSearch [11] based catalogue
1350 data series, 288.971 triples stored in SESAME [12]
geospatial metadata model that extends the INSPIRE guidelines [7]with richer semanticshttp://portal.genesi-dec.eu/news/?id=117
semantic tagging against a set of the Earth Science vocabularies(GCMD [8], SBA [9], GEMET [10])
Outline
1 Motivation
2 Environmental Data Discovery
3 Environmental Data IntegrationLinked Data Approach to Environmental Data IntegrationDemonstration Using the Icelandic Volcano Case Study
Linked Environmental Data
Linked Data [13]
→ publish data not documents!
Environmental Data
→ datasets with observations
Linked Environmental Data
→ publish observations not datasets!
→ fine-grain representation of environmental data will bring newopportunities to query and integrate environmental data at the levelof single observations
Atmospheric Measurements (ICOS) [14]
Dataset “CO2 concentration measured by Mace Head”
Observation “CO2 concentration in the air Measured by Mace Head on 2010-01-05 was 392.011”
Dimensions: Time Geospatial location Unit of Measure Observed Phenomenon …
Ocean Monitoring (Euro-Argo) [15]
Dataset Observations Dimensions
Ash Cloud Dynamics (ACTRIS) [16]
Dataset Observations Dimensions
Related Work
RDF Data Cube [17] based approaches
Linked Environmental Data [1]
The ACORN-SAT Linked Climate Dataset [2]
A Linked Data Framework for Publishing the UK Environmental Data [4]
Data Cube: core model
Dimension
has dimension
Dataset Dataset Structure
Observa2on
has dataset
has structure
But what about semantic data interoperability?
Question
Can we find generic concepts to capture domain semantics ofenvironmental data?
Data Cube Extension
has Feature of Interest
Dataset Dataset Structure
Observa.on
has dataset
has structure
Loca.on Time FeatureOfInterest
. . .
has time has location
ENVRI vocabulary [18] (based on OGC O&M [19])
Observation
Feature of Interest
has Feature of Interest
TimeLocation
has Location
Result
has ResultProcedure
has procedure
Observed Property
has Observed Property
has Propertyhas Time
Outline
1 Motivation
2 Environmental Data Discovery
3 Environmental Data IntegrationLinked Data Approach to Environmental Data IntegrationDemonstration Using the Icelandic Volcano Case Study
Demonstration
Data
ICOS CO2 concentration, Euro-Argo - ocean temperature
35 collections, 10.520 observations, 136.556 RDF triples
Implementation
RDF generation - RDF Data Cube plug-in for Google Refine [5]
storage - Virtuoso RDF store
access - http://data.politicalmashup.nl/sparql/
Queries
1: query for individual and subsets of observations
Retrieve all the observations for the days of the Volcano eruption(from 20 March to 23 June, 2010).
2: exploit the semantics of the terms of the ENVRI vocabulary
What phenomena were measured in 2010 in the area next to theVolcano?
What instruments were used to make measurements in 2010 in thearea next to the Volcano?
Queries
1: query for individual and subsets of observations
Retrieve all the observations for the days of the Volcano eruption(from 20 March to 23 June, 2010).
2: exploit the semantics of the terms of the ENVRI vocabulary
What phenomena were measured in 2010 in the area next to theVolcano?
What instruments were used to make measurements in 2010 in thearea next to the Volcano?
Conclusion
→ data discovery through a harmonized metadata catalogue based onthe geospatial metadata model
→ fine-grain representation of environmental data enables queries thatretrieve and integrate data at the level of single observation instead ofpre-defined collections
→ ENVRI vocabulary enables semantically rich queries
Future Work
→ Alignment between data models for data discovery and dataharmonization
→ Systematic study of the proposed modelling solution
Conclusion
→ data discovery through a harmonized metadata catalogue based onthe geospatial metadata model
→ fine-grain representation of environmental data enables queries thatretrieve and integrate data at the level of single observation instead ofpre-defined collections
→ ENVRI vocabulary enables semantically rich queries
Future Work
→ Alignment between data models for data discovery and dataharmonization
→ Systematic study of the proposed modelling solution
Questions?
Thank you!
→ ENVRI portal http://portal.envri.eu
→ more about Linked Environmental Datahttp://staff.science.uva.nl/~ttaraso1/html/envri.html
References I
Ruther, M., Fock, J., and Hubener, J.: Linked Environmental Data. 24thInternational Conference on Informatics for Environmental Protection (2010)
Ruther, M., Fock, J., and Hubener, J.: The ACORN-SAT Linked Climate Dataset.Semantic Web Journal (2013)http://www.semantic-web-journal.net/system/files/swj457.pdf
The ENVRI vocabularyhttp://data.politicalmashup.nl/RDF/vocabularies/envri
Shaon, A., Woolf, A., Boczek, R., Rogers, W., and Jackson, M.: An Open SourceLinked Data Framework for Publishing Environmental Data under the UK LocationStrategy. Proceedings of the Terra Cognita Workshop on Foundations,Technologies and Applications of the Geospatial Web (2011)http://ceur-ws.org/Vol-798/paper6.pdf
The Data Cube plug-in for Google Refine http://refine.deri.ie/qbExport
2010 eruptions of Eyjafjallajokull on Wikipediahttp://en.wikipedia.org/wiki/2010_eruptions_of_Eyjafjallaj%C3%B6kull
References II
State of progress in the development of guidelines to express elements of theInfrastructure for Spatial Information in the European Community (INSPIRE)metadata implementing rules using ISO 15836 (Dublin Core). EuropeanCommission (2008) http://inspire.jrc.ec.europa.eu/reports/
ImplementingRules/metadata/MD_IR_and_DC_state%20of%20progress.pdf
The Global Change Master Directory (GCMD) http://gcmd.nasa.gov/
The Societal Benefit Area vocabularies (SBA)http://www.earthobservations.org/
The GEneral Multilingual Environmental Thesaurus (GEMET)http://www.eionet.europa.eu/gemet/
The OpenSearch standard protocol http://www.opensearch.org/
http://www.openrdf.org/
Berners-Lee, T.: Linked data - design issues, 2006.http://www.w3.org/DesignIssues/LinkedData.html
References III
The Integrated Carbon Dioxide System (ICOS), Atmospheric MeasurementsSystem https://icos-atc-demo.lsce.ipsl.fr/
Euro-Argo http://www.argodatamgt.org/
The Aerosols, Clouds, and Trace Gasses Research Infrastructure Network (ACTRIS)www.actris.net
The Data Cube vocabularyhttp://www.w3.org/TR/2013/WD-vocab-data-cube-20130312/
The ENVRI vocabulary.http://data.politicalmashup.nl/RDF/vocabularies/envri
Geographic Information: Observations and Measurements. OGC AbstractSpecification http://www.opengeospatial.org/standards/om
