Olivier Rovellotti, Natural Solutions, FranceSemantic for Biodiversity: a user’s perspective
DataUsersProcessWhy use semantics?Why not to use it?What can we should do about it,and how are we trying?RecapQuestions
Data
4 DimensionsWhen WhatWhereWho
ObservationYesterday, Mathieu saw a flamingo in CamargueWhenWho WhatWhereHowWhy
What: different nature
http://imgs.xkcd.com/comics/desert_island.pngData in a usable formPoor me !
Users
Who:MillionsHundredsScienceCitizen Science
Complexity:Just about10 ?8000Species
ComplexityNumbersGood:
ComplexityNumbersBad:
ComplexityNumbersUngly:
Process
AcquisitionAgir?AnalysisProcess:SharingSearch & compilationAgir?Banking
Why use semantics?
• Annotation : Search• Enrichment : Banking• Reuse: Share• Interoperability : Exchange
Why aren’t we there yet?
Biodiv Data is not simple
Most Biodiv tools are not semantic tools
Biodiversity dataMost Biodiv Data is not 5 stars
What can we should do about it,and how are we trying?
AcquisitionBanking AnalysisSearch & compilation
ecoQuery: SearchJSONSQL SPARQLRDF
ecoQuery : SPARQLPREFIX dwc:<http://rs.tdwg/org/dwc/terms/#>PREFIX rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#>PREFIX...
ScienceCitizen ScienceAcquisition
?Keys
Structure
AnalyseMapsDataTools
Acrocephalus arundinaceus (Linnaeus, 1758)Rousserolle turdoïde (Français)
Merciwww.natural-solutions.eu@orovellotti
ContextProtocol ProtocolFieldsTaxonFields
When the Social Meets the Semantic: Social Semantic Web or Web 2.5Salvatore F. Pileggi* , Carlos Fernandez-Llatas and Vice...
Ns pres-sem4 biodiv 2.1
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Ns pres-sem4 biodiv 2.1

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The first international workshop on 'Semantics for Biodiversity' (S4BioDiv) will be held on May 27, 2013, preceding the 10th ESWC 2013 -‘Semantics and Big Data’, Montpellier, France.

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Ns pres-sem4 biodiv 2.1

  1. 1. Olivier Rovellotti, Natural Solutions, FranceSemantic for Biodiversity: a user’s perspective
  2. 2. DataUsersProcessWhy use semantics?Why not to use it?What can we should do about it,and how are we trying?RecapQuestions
  3. 3. Data
  4. 4. 4 DimensionsWhen WhatWhereWho
  5. 5. ObservationYesterday, Mathieu saw a flamingo in CamargueWhenWho WhatWhereHowWhy
  6. 6. What: different nature
  7. 7. http://imgs.xkcd.com/comics/desert_island.pngData in a usable formPoor me !
  8. 8. Users
  9. 9. Who:MillionsHundredsScienceCitizen Science
  10. 10. Complexity:Just about10 ?8000Species
  11. 11. ComplexityNumbersGood:
  12. 12. ComplexityNumbersBad:
  13. 13. ComplexityNumbersUngly:
  14. 14. Process
  15. 15. AcquisitionAgir?AnalysisProcess:SharingSearch & compilationAgir?Banking
  16. 16. Why use semantics?
  17. 17. • Annotation : Search• Enrichment : Banking• Reuse: Share• Interoperability : Exchange
  18. 18. Why aren’t we there yet?
  19. 19. Biodiv Data is not simple
  20. 20. Most Biodiv tools are not semantic tools
  21. 21. Biodiversity dataMost Biodiv Data is not 5 stars
  22. 22. What can we should do about it,and how are we trying?
  23. 23. AcquisitionBanking AnalysisSearch & compilation
  24. 24. ecoQuery: SearchJSONSQL SPARQLRDF
  25. 25. ecoQuery : SPARQLPREFIX dwc:<http://rs.tdwg/org/dwc/terms/#>PREFIX rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#>PREFIX geo:<http://www.w3.org/2003/01/geo/wgs84_pos#>PREFIX dcterms:<http://purl.org/dc/terms/>SELECT distinct ?scientificName?lat?long?dateFROM <urn:rdf.Occurences.AvianKnowledgeNetworkWHERE {?occurence rdf:type dwc:Occurence ;dwc:Identification ?id ;geo:lat ?lat;geo:long ?long;dcterms:date?date.?id dwc:scientificName?scientificName}ecoQuerySparQL
  26. 26. ScienceCitizen ScienceAcquisition
  27. 27. ?Keys
  28. 28. Structure
  29. 29. AnalyseMapsDataTools
  30. 30. Acrocephalus arundinaceus (Linnaeus, 1758)Rousserolle turdoïde (Français)
  31. 31. Merciwww.natural-solutions.eu@orovellotti
  32. 32. ContextProtocol ProtocolFieldsTaxonFields
  33. 33. When the Social Meets the Semantic: Social Semantic Web or Web 2.5Salvatore F. Pileggi* , Carlos Fernandez-Llatas and Vicente Traver

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