semantic extensions to ecorelevé

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Semantic extensions to ecoRelevé Olivier Rovellotti

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Semantic extensions to ecoRelevé. Olivier Rovellotti. The projet The Sem Web The extentions. Reduce Software complexity. F or who ?. People we know:. People we don’t know?. What for?. Analyze data. Ask Questions. Define Protocols. Collect data. Data Admin. Research. - PowerPoint PPT Presentation

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Page 1: Semantic extensions to  ecoRelevé

Semantic extensions to ecoRelevé

Olivier Rovellotti

Page 2: Semantic extensions to  ecoRelevé

• The projet• The Sem Web• The extentions

Page 3: Semantic extensions to  ecoRelevé

Reduce Software complexity

Page 4: Semantic extensions to  ecoRelevé

For who?

People we know:

People we don’t know?

Page 5: Semantic extensions to  ecoRelevé

Define Protocols Collect data

Analyzedata

AskQuestions

Data Admin

What for?

Page 6: Semantic extensions to  ecoRelevé

Citizen Science

Professional Research

PHD

DBA/GIS

3 Modules

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Page 8: Semantic extensions to  ecoRelevé

RDF

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2007

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2009

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Life Science

2012

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Now what ?

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What is it good for?

• Better annotations• Easier data integration• More extensible• More expressive

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Controlled Vocabularies:

Build protocols forms

Enhance existing dataset

Aggregate data

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Annotations

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ecoRelevé

Core

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1.0

Observation Layers

Data integration

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ecoRelevé

explorer

Data enhancement

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4 dimensions

Time

Biology

Space

People

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Time

Biology

Space

PeopleFriends

Work

FOAF

Localities Protected Areas

Last weekAt the same time as

Conservation Status

Family

GeoSparql

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Data connector

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Milan royalMilvus milvusRed Kite

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Rod Page - what can you do with it ?

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SPARQL:Catch the frog

select ?scientificName, ?status, ?lat, ?long FROM <urn:rdf.TdwgFroggyChallenge>where { ?s rdf:type uniprot:Molecule . ?s terms:relation ?id. ?s terms:subject ?taxonInGB . ?id geo:lat ?lat. ?id geo:long ?long.  ?taxonInDbPedia dbOwl:conservationStatus ?status. ?taxonInGB rdfs:seeAlso ?taxonInDbPedia. ?taxonInGB uniprot:scientificName ?scientificName.}

ecoReleve

SparQL

TAISTY!

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Take home message :

• There is a learning curve• But RDF is not that difficult• One API is better than 10 • We need data in RDF to experiment

• Reasoning is for later …

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Thanks ..

@orovellotti