SlideShare a Scribd company logo
Chris Dijkshoorn
Cristina-Iulia Bucur
Maarten Brinkerink
Sander Pieterse
Lora Aroyo
On the fly collection integration supported by the crowd
valorisation project
May 2016 to November 2016
DigiBird project
Chris Dijkshoorn Cristina Bucur Lora Aroyo
Maarten Brinkerink Sander Pietersen Saskia Scheltjens
‣ Why DigiBird?
‣ The DigiBird project:
‣ overview of the system
‣ institutions and projects involved
‣ Crowdsourcing and its challenges
‣ Conclusions
Outline
Why DigiBird?
Crowdsourced
collections
Collections
Crowdsourced
metadata
Sounds Artworks Images Videos
DigiBird in a nutshell
DigiBird in a nutshell
‣ 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
‣ 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
DigiBird in a nutshell
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
Xeno-canto collection in numbers
‣ 4,728+ hours of recording
‣ 328,632 recordings
‣ 9,662 species
‣ (> 90% of all species)
‣ 3,309 record lists
DigiBird in a nutshell
Naturalis Biodiversity Center
= (collection × research) + museum
40 million specimens
National thesaurus of multicellular species
observed in The Netherlands since 1758
www.nederlandsesoorten.nl
Dutch Species Catalog
DigiBird in a nutshell
‣ 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
What`s that?
‣ Video tagging game
‣ Audiovisual heritage collections
‣ 3 implementations
‣ > 1,000,000 social tags
‣ Digibird project
‣ Natuurbeelden collection
DigiBird in a nutshell
‣ “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
‣ “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
Crowdsourcing, but…
‣ Content issues will arise
‣ Bottleneck: expertise
‣ Other challenges
‣ 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
Crowdsourced
collections
Collections
Crowdsourced
metadata
Sounds Artworks Images Videos
‣ Every institution has its own system
‣ No visibility similar initiatives
Challenge 1: Crowdsourcing tasks
are undertaken in isolation
‣ 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
Why use vocabulary terms instead of text?
Why use vocabulary terms instead of text?
Point of integration
Thesauri can bridge collection
IOC World Bird List
‣ 33,801 terms
‣ Structured using Simple Knowledge
Organization System (SKOS)
‣ Persistent identifiers
Importance shared vocabulary
Goals
‣ Make results available on the fly
‣ Provide insights in progress
DigiBird pipeline
DigiBird pipeline
Request
formulation
Data
retrieval
Data
integration
Response
formulation
Species
view
‣ Crowdsourcing relies on voluntary contributions
‣ Unpredictable when people will contribute
How DigiBird helps
‣ Monitor progress
Challenge 2: It takes time to collect
data
Monitoring
‣ Organise events
‣ Market initiatives
DigiBird solution
‣ Generate challenging tasks
Challenge 3: It demands continuous
promotional effort
Annotation
wall
‣ Data siloes
‣ Trust in data
Challenge 4: It is challenging for
institutions to incorporate the results
of crowdsourcing into their existing
infrastructure
‣ 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
Cross-
platform
integration
Monitoring
Species view
Annotation wall
DigiBird website
‣ 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
Credits
Chris Dijkshoorn
Maarten Brinkerink
Sander Pieterse
Lora Aroyo
Maarten Heerlien
Saskia Scheltjens
Lizzy Jongma
Jonathon Jongsma
Laurens Rietveld
Jaap Blom
Danny Sedney
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
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

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Presentation Digibird@Museums and the Web 2017