CUbRIK Summer School 2014
1CUbRIK Summer School
histoGraph
Building a social graph for the history of Europe
Lars Wieneke, CVCE – Luxembourg
CUbRIK Summer School 2014
2-4/07/2014 CUbRIK Summer School 2
Agenda
The CVCE What are the Digital Humanities? The DHLab at the CVCE Vision: From image collection to Social
Graph The CUbRIK approach Demo Challenges, Lessons learned & Outlook
CUbRIK Summer School 2014
2-4/07/2014 CUbRIK Summer School 3
The CVCE
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CUbRIK Presentation 41/10/2011
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CUbRIK Presentation 51/10/2011
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CUbRIK Presentation 61/10/2011
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CUbRIK Presentation 71/10/2011
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CUbRIK Presentation 8
WHAT ARE THE DIGITAL HUMANITIES?
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CUbRIK Presentation 9
What are the digital humanities?
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„[…] the issue would be not how much computing we need for getting the answers, but
how much computer science needs us to ask the right questions.“
http://whatisdigitalhumanities.com, Domenico Fiormonte, Université Roma Tre
Digital Humanities is the application of computational methods and tools for the
humanities
but
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CUbRIK Presentation 10
What are the digital humanities?
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F.Kapplan, EPF LausanneVenice Fall Digital Humanities School
2013
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CUbRIK Presentation 11
What are the digital humanities?
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F.Kapplan, EPF LausanneVenice Fall Digital Humanities School
2013
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CUbRIK Presentation 12
The DHLab at the CVCE
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European Integration Studies
Humanities
Development&
Operations
DHLab
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CUbRIK Presentation 13
OUR VISION: BUILDING A SOCIAL GRAPH FROM IMAGE COLLECTIONS
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CUbRIK Presentation 14
Building a social graph from image collections
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CUbRIK Presentation 15
Building a social graph from image collections
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CUbRIK Presentation 16
THE CUBRIK APPROACH
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CUbRIK Presentation 17
Four pillars
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Researcher Requirements
Entity Repository
Efficient Indexation Process
Toolchain for visualization and analysis
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CUbRIK Presentation 18
Sourcing researcher requirements
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Requirements
User pull
Technology push
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CUbRIK Presentation 19
Sourcing researcher requirements
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CUbRIK Presentation 20
Sourcing researcher requirements
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CUbRIK Presentation 21
Building an entity repository
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CUbRIK Presentation 22
Efficient indexation
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Conflict(e.g., “Image contains
‘Romano Prodi’ ”Confidence = low)?
Conflict store Conflict manager
Conflict resolution task store
Conflict resolution task: conflict,
required skill, priority, ..
CUbRIK app for Conflict resolution
Game Q&ACrowdtask
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CUbRIK Presentation 23
Efficient indexation
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SMILA
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CUbRIK Presentation 24
Demo
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CUbRIK Presentation 25
Challenges
Detection and identification of identities/places/events in time
Verification of identities/places/events in time
Analysis of relationships (e.g. co-occurrences)
Rights aware crawling and storage Verification of provenance and license
information Truth and provenance
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CUbRIK Presentation 26
Approach
Crowd-sourced verification of detected faces (false positives/negatives)
Verification of identities through/places/events in time social networks of experts
Visual knowledge discovery/exploration Integrated rights aware crawling and
storage Integrated license and provenance
management
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CUbRIK Presentation 27
Discursive interface
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Voting (ref. Stackoverflow) is supported through source referencing and
explanations. Solutionspace
Shared visualizatio
n
Multipleperspectiv
es
Problem
space
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CUbRIK Presentation 28
Motivation, gamification and reputation
Different levels of motivation for different tasks Face position validation -> Monetary incentives Face validation -> reputation gain
Actions in the application can be rewarded through the system and through other users Goal to motivate AND to capture reputation
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CUbRIK Presentation 29
Lessons learned
No one truth in history but interpretation, context and discussion
Therefore need to represent ambivalence, contradictions and discussion
Close ties between data representation (Social graph) and their original context (primary sources)
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CUbRIK Presentation 30
Next step: evaluation
4 week evaluation phase in July kick-off with a physical workshop in
Luxembourg Closure with a virtual workshop
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CUbRIK Presentation 31
THANK YOU FOR YOUR ATTENTION
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