CUbRIK Summer School RHodes histoGraph

CUbRIK Summer School 2014

1CUbRIK Summer School

histoGraph

Building a social graph for the history of Europe

Lars Wieneke, CVCE – Luxembourg


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


2-4/07/2014 CUbRIK Summer School 3

The CVCE


CUbRIK Presentation 41/10/2011


CUbRIK Presentation 8

WHAT ARE THE DIGITAL HUMANITIES?

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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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F.Kapplan, EPF LausanneVenice Fall Digital Humanities School

2013



The DHLab at the CVCE

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European Integration Studies

Humanities

Development&

Operations

DHLab



OUR VISION: BUILDING A SOCIAL GRAPH FROM IMAGE COLLECTIONS

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Building a social graph from image collections

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Building a social graph from image collections

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THE CUBRIK APPROACH

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Four pillars

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Researcher Requirements

Entity Repository

Efficient Indexation Process

Toolchain for visualization and analysis



Sourcing researcher requirements

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Requirements

User pull

Technology push




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Building an entity repository

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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



Efficient indexation

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SMILA



Demo

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http://158.49.241.64/hoe/socialgraph/index.html



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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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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Discursive interface

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Voting (ref. Stackoverflow) is supported through source referencing and

explanations. Solutionspace

Shared visualizatio

n

Multipleperspectiv

es

Problem

space




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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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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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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THANK YOU FOR YOUR ATTENTION

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CUbRIK Summer School RHodes histoGraph

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