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Presentation Digibird@Museums and the Web 2017
- 1. Chris Dijkshoorn Cristina-Iulia Bucur Maarten Brinkerink Sander Pieterse Lora Aroyo On the fly collection integration supported by the crowd
- 2. valorisation project May 2016 to November 2016 DigiBird project Chris Dijkshoorn Cristina Bucur Lora Aroyo Maarten Brinkerink Sander Pietersen Saskia Scheltjens
- 3. ‣ Why DigiBird? ‣ The DigiBird project: ‣ overview of the system ‣ institutions and projects involved ‣ Crowdsourcing and its challenges ‣ Conclusions Outline
- 6. DigiBird in a nutshell
- 7. DigiBird in a nutshell
- 8. ‣ Digital collection: ‣ 650,000+ object records ‣ 274,000+ images ‣ Links to thesauri ‣ Graph search algorithm ‣ Annotate online collections ‣ Different domains: bible, birds, fashion, etc. Rijksmuseum - Accurator
- 9. ‣ Focus on art-historical information ‣ Use of crowdsourcing and niche groups with expertise ‣ Semantic annotations: a set of connecting resources ‣ Occasional lack of expertise regarding subject matter annotations Rijksmuseum - Accurator
- 10. DigiBird in a nutshell
- 11. Xeno-canto Found for Nature Sounds ● Popularise bird sounds & recording ● Improve access to bird sounds ● Increase the knowledge of bird sounds ● Build the ultimate, complete sound guide ● Through www.xeno-canto.org
- 12. Xeno-canto collection in numbers ‣ 4,728+ hours of recording ‣ 328,632 recordings ‣ 9,662 species ‣ (> 90% of all species) ‣ 3,309 record lists
- 13. DigiBird in a nutshell
- 14. Naturalis Biodiversity Center = (collection × research) + museum 40 million specimens
- 15. National thesaurus of multicellular species observed in The Netherlands since 1758 www.nederlandsesoorten.nl Dutch Species Catalog
- 16. DigiBird in a nutshell
- 17. ‣ Cultural-historical organization ‣ > 70% Dutch audiovisual heritage from 1898 ‣ 1,000,000+ hours of TV, radio, music and film ‣ 11 petabyte of data ‣ Various video collections Netherlands Institute for Sound & Vision
- 18. What`s that? ‣ Video tagging game ‣ Audiovisual heritage collections ‣ 3 implementations ‣ > 1,000,000 social tags ‣ Digibird project ‣ Natuurbeelden collection
- 19. DigiBird in a nutshell
- 20. ‣ “Cognitive surplus”: build a bigger collection ‣ Gather annotations by engaging the crowd ‣ Everyone can participate ‣ Break hard problems in smaller tasks ‣ Scalable and cheap way of generating content Crowdsourcing
- 21. ‣ “Cognitive surplus”: build a bigger collection ‣ Gather annotations by engaging the crowd ‣ Everyone can participate ‣ Break hard problems in smaller tasks ‣ Scalable and cheap way of generating content BUT… Crowdsourcing
- 22. Crowdsourcing, but… ‣ Content issues will arise ‣ Bottleneck: expertise ‣ Other challenges
- 23. ‣ Crowdsourcing tasks are undertaken in isolation ‣ It takes time to collect data ‣ It demands continuous promotional effort ‣ It is challenging for institutions to incorporate the results of crowdsourcing into their existing infrastructure Crowdsourcing Challenges
- 25. ‣ Every institution has its own system ‣ No visibility similar initiatives Challenge 1: Crowdsourcing tasks are undertaken in isolation
- 26. ‣ Every institution has its own system ‣ No visibility similar initiatives DigiBird solution ‣ Create a hub ‣ Provide on the fly integration ‣ Use a shared vocabulary Challenge 1: Crowdsourcing tasks are undertaken in isolation
- 27. Why use vocabulary terms instead of text?
- 28. Why use vocabulary terms instead of text?
- 30. Thesauri can bridge collection IOC World Bird List ‣ 33,801 terms ‣ Structured using Simple Knowledge Organization System (SKOS) ‣ Persistent identifiers Importance shared vocabulary
- 31. Goals ‣ Make results available on the fly ‣ Provide insights in progress DigiBird pipeline
- 33. Species view
- 34. ‣ Crowdsourcing relies on voluntary contributions ‣ Unpredictable when people will contribute How DigiBird helps ‣ Monitor progress Challenge 2: It takes time to collect data
- 35. Monitoring
- 36. ‣ Organise events ‣ Market initiatives DigiBird solution ‣ Generate challenging tasks Challenge 3: It demands continuous promotional effort
- 37. Annotation wall
- 38. ‣ Data siloes ‣ Trust in data Challenge 4: It is challenging for institutions to incorporate the results of crowdsourcing into their existing infrastructure
- 39. ‣ Data siloes ‣ Trust in data DigiBird solutions ‣ Provide a way to directly access data ‣ Different output formats ‣ Refine and review contributions Challenge 4: It is challenging for institutions to incorporate the results of crowdsourcing into their existing infrastructure
- 41. Monitoring Species view Annotation wall DigiBird website
- 42. ‣ DigiBird: a hub for 4 distinct crowdsourcing projects ‣ Integrated access to different collections about birds ‣ Real-time access to information added ‣ Engaging audiences in crowdsourcing Conclusions
- 43. Credits Chris Dijkshoorn Maarten Brinkerink Sander Pieterse Lora Aroyo Maarten Heerlien Saskia Scheltjens Lizzy Jongma Jonathon Jongsma Laurens Rietveld Jaap Blom Danny Sedney
- 44. On the fly collection integration supported by the crowd Cristina-Iulia Bucur c.i.bucur@vu.nl Chris Dijkshoorn c.r.dijkshoorn@vu.nl www.digibird.org Source code is available online: ‣ github.com/rasvaan/digibird_api ‣ github.com/rasvaan/digibird_client Useful links: ‣ accurator.nl ‣ nederlandsesoorten.nl ‣ rijksmuseum.nl ‣ xeno-canto.org ‣ waisda.beeldengeluid.nl
- 45. Data retrieval Request formulation Data integration Response formulation Query filter Merel Request search Merel Request parameter Turdus merula Query concept ioc:Turdus_merula DigiBird pipeline example: retrieve information about a blackbird - === - rec === dc:creator creator === dc:creator creator === dc:creator JSON result list SPARQL result list SPARQL result list Return JSON, JSON-LD, N-Quads or Turtle JSON result list