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Enhancing Data Integration with RDF: The EcoRelevé Project and Semantic Web Innovations

Explore the EcoRelevé project led by Olivier Rovellotti, focusing on reducing software complexity in data management through Semantic Web technologies. This initiative leverages RDF and controlled vocabularies to enhance data integration, annotations, and extensibility across diverse fields including biology and citizen science. Discover how these innovations facilitate better data collection, analysis, and protocol definition for professionals, researchers, and passionate citizens alike. Learn about the importance of RDF, SPARQL, and the project’s modules crafted from lessons learned since 2007.

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Enhancing Data Integration with RDF: The EcoRelevé Project and Semantic Web Innovations

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  1. Semantic extensions to ecoRelevé • Olivier Rovellotti

  2. The projet • The Sem Web • The extentions

  3. Reduce Software complexity

  4. For who? People we know: People wedon’tknow?

  5. What for? Analyze data Ask Questions Define Protocols Collect data Data Admin

  6. Research DBA/GIS Professional Citizen Science PHD 3 Modules

  7. RDF

  8. 2007

  9. 2009

  10. 2012 Life Science

  11. Nowwhat ?

  12. What is it good for? • Better annotations • Easier data integration • More extensible • More expressive

  13. Aggregate data Controlled Vocabularies: Build protocols forms Enhance existing dataset

  14. Annotations

  15. ecoRelevé Core

  16. 1.0 Data integration Observation Layers

  17. Data enhancement ecoRelevé explorer

  18. 4 dimensions Space Biology People Time

  19. GeoSparql Localities Protected Areas Conservation Status Work Space Time FOAF Biology People Family Friends At the same time as Last week

  20. Data connector

  21. Milan royal Milvusmilvus RedKite

  22. Rod Page - what can you do with it ?

  23. SPARQL: Catch the frog TAISTY! ecoReleve select ?scientificName, ?status, ?lat, ?long FROM <urn:rdf.TdwgFroggyChallenge> where { ?s rdf:typeuniprot:Molecule . ?s terms:relation ?id. ?s terms:subject ?taxonInGB . ?id geo:lat ?lat. ?id geo:long ?long. ?taxonInDbPediadbOwl:conservationStatus ?status. ?taxonInGBrdfs:seeAlso ?taxonInDbPedia. ?taxonInGBuniprot:scientificName ?scientificName. } SparQL

  24. Take home message: • There is a learningcurve • But RDF is not thatdifficult • One API isbetterthan 10 • Weneed data in RDF to experiment • Reasoningis for later…

  25. Thanks .. @orovellotti

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