tramm hydrosys sensorscope gsn sensormap biglink record apunch extremes mountland cogear hydromon...

TRAMM HYDROSYS SENSORSCOPE GSN SENSORMAP BIGLINK RECORD APUNCH EXTREMES MOUNTLAND COGEAR HYDROMON

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Swiss ExperimentInterdisciplinary Environmental Research

Nicholas Dawes, Ashwin Kumar, Sebastian Michel, Karl Aberer, Michael LehningEcole Polytechnique Fédérale de Lausanne, SwitzerlandSwiss Federal Institute for Snow and Avalanche Research (SLF), Davos, Switzerland


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Outline

• Introduction to Swiss Experiment (SwissEx)• Problem Statement and Motivation• The SwissEx Wiki• SwissEx Infrastructure (Data)• Semantic Forms• Querying Metadata• Conclusion and Future Work


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Swiss Experiment (SwissEx Aims):

• Provision of a generic infrastructure of:

• web based technologies

• wireless communications

• low cost high density sensors

to serve the environmental science community, encourage collaboration and provide a portal for public information on environmental research

• Climate change forecasts show the greatest impact in high alpine scenarios. These changes are already being observed and answers to environmental questions need to be found quickly. The Swiss Experiment infrastructure aims to speed up that process

www.swiss-experiment.ch


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SwissEx Infrastructure

Black boxes indicate widespread research areas with multiple experiments within

• SwissEx infrastucture is built to serve many environmental research projects

• Where experimental areas overlap, projects can work more efficiently by sharing data

• Projects can benefit from external data sources


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Requirement for Metadata

• Temperatures from Wannengrat, Davos 22/01/07 – 28/01/07

Seem legitimate for 2400m altitude in winter?


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Requirement for Metadata

• Temperature/Humidity sensor 25/01/07

Sensor opening covered in reimThe data from this sensor during the preceding period is unusable, but indistinguishable from the data after this photo was taken.

…….never trust somebody elses data without the associated metadata


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The SwissEx WikiInformation, Data Portal and Metadata Database Interface

• Central to the functioning of the project

• Incorporates SensorMap and GSN access:

• If you can access the data, this is the place to have the metadata access

• MediaWiki uses RDF format to store semantics

• RDF enables structure to be added to a mass of web based data


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SwissEx Infrastructure


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SwissEx Metadata


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Observation with station no.

The Metadata Model• The metadata model:

Invalid data registration Observation

Invalid data registration

Observation

Observation with station no.

• Can also be viewed as:

Parameter


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LabelModel

entities Semantic Annotations

A Station Station name, General information, Geographical coordinate

B ActionStation name, Parameter, Observation/Invalid data, Start data, End date

C Sensor Sensor Serial no, Model no

D Model Model no, Manufacturer, Measuredquantities, Units

E ParameterParameter name, Station name, Sensor serial no, Measured quantity, Units, Sampling frequency, Measurement accuracy

Semantic Annotations


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Semantic FormsMetadata Database Interface

• We can use semantic wiki language to store data in the background as RDF

• Semantic wiki language is complicated, not what scientists need to deal with when they come back from the field

• Semantic Forms take away this complexity at the expense of flexibility - a well designed system can simplify data entry


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Use of forms in entering semantics


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Station (Model Entity A)

General info on the station/vs

Addition of observations to the data or station/vs and notation of invalid data periods

Parameters

All possible sensor models

List of assigned sensors

Observations pertianing to the overall station


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Action (Model Entity B)

Observation or invalid data between 2 dates


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Associated parameter names

Sensor (Model Entity C)

Association between parameter name and model


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Model information

Sensor Model (Model Entity D)

Association sensor instances (serial numbers)


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Parameter (Virtual Sensor) (Model Entity E)

Parameter information

Registered invalid data periods and observations

Dependencies


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How do we make the tables?Semantic Queries

{{#ask:[[station name::{{{stationname}}}]] [[Sensor serialno::+]]|?Sensor serialno|?Action|?Action at|format=table}}

• Standard Wiki query

• SPARQL queryPREFIX a:<http://www.swiss-experiment.ch/index.php/Special:URIResolver/>SELECT DISTINCT ?smodelWHERE {?page a:Property:Sensor_model?smodel}

Query languages for RDF databases:


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Semantic Queries

• BUT…. SPARQL can query multiple sources

PREFIX a:<http://www.experiment1.ch/index.php/Special:URIResolver/>PREFIX b:<http://www.experiment2.ch/index.php/Special:URIResolver/>SELECT ?smodelFROM NAMED <wiki1.rdf>FROM NAMED <wiki2.rdf>WHERE {GRAPH <wiki1.rdf> {?x a:Property:Sensor_model ?smodel .} .GRAPH <wiki2.rdf> {?y b:Property:Sensor_model ?smodel .} .}

• So metadata from A,B,C,D and E can be queried simultaneously

• SPARQL also gives us the possibility to query across metadata from different experiments……so we have the possibility of querying the data based on its metadata


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Metadata Export using SPARQL

SPARQL is already used to query the wiki and import metadata to SensorMap


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Can I use the wiki as a front end for any database?

• Importing to the Wiki from a relational database:• Using R2D2 (http://aksw.org) SPARQL queries can be translated to SQL for

querying a relational database. The result is translated back to RDF format using the same tool.

• The RDF files can be imported to a wiki page.

•Why is this interesting?

• If there are external data sources with metadata, we can query it and give the results in the same place as the rest of the data

• Exporting to a relational database from the wiki:• A script should be written to perform the relevant SPARQL query and wrap

the result into a SQL query.


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Conclusion

• Framework for Metadata capturing• Integrated in a Wiki• Intuitive to use• Provide query interface to applications• Support for import/export to relational DBs


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Questions

tramm hydrosys sensorscope gsn sensormap biglink record apunch extremes mountland cogear hydromon...

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