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IBM Haifa Research Lab

Enhancing Digital Cultural Heritage
Collections with Social Network Capabilities
Maristella Agosti (agosti@dei.unipd.it), Nicola Ferro (ferro@dei.unipd.it)
Sara Porat (porat@il.ibm.com), Ella Rabinovich (ellak@il.ibm.com)

© 2014 IBM Corporation
IBM Haifa Research Lab

What is CULTURA
•

Digital humanities portal supporting the exploration of cultural heritage
collections by a range of different users
•
•

•

Professional researchers and historians
Students with little or no experience of a particular archive

There are three digitised collections in the portal
•

1641 Depositions (http://cultura-project.eu/1641/)

•

Bureau of Military History - 1916 Rising (http://cultura-project.eu/1916)

•

IPSA Collection (http://cultura-project.eu/ipsa)

2

© 2014 IBM Corporation
IBM Haifa Research Lab

Motivation and Goals
Increase the engagement of researchers with digital heritage collections
by inferring social network between researchers and discovering relationships
among them; that, by exploiting researchers’ annotations.

•

Social network of researchers, based on inferred relations

•

Content and people recommendations

•

Adaptive personalized search

3

© 2014 IBM Corporation
IBM Haifa Research Lab

The 1641 Depositions
•

Collection of noisy text documents, mainly of legal nature
•

Contain witness testimonies from Irish people following the outbreak of
rebellion by the Catholic Irish in 1641

•

Contains over 8,000 depositions of 20,000 pages dating from the 17th Century

•

Inconsistent in spelling, punctuation and nomenclature

4

© 2014 IBM Corporation
IBM Haifa Research Lab

Flexible Annotation Semantic Tool (FAST)
•

Annotation is a multimedia object constituted by different signs
•

•

textual signs, image signs etc.

User can annotate text or image, and create different types of annotations
•
•

•

Targeted annotation – associated with a specific part of a document
Note – associated with the entire document

Annotation has a scope that defines its visibility
•

Public, shared or private

 targeted annotation

note 

5

© 2014 IBM Corporation
IBM Haifa Research Lab

Example of Annotation

6

© 2014 IBM Corporation
IBM Haifa Research Lab

Social Networks and Discovery (SaND)
•

IBM Social Analytics engine in IBM Connections

•

Provides social network and recommendations
•
•

Recommendations for new users

•

•

People and content recommendations

All involve highly transparent explanations

Personalized search
•

•

Based on social networks and topics
of interest

Social relationship analysis
•
•

•

Social path from person to person
Social graph visualization

Community features

7

© 2014 IBM Corporation
IBM Haifa Research Lab

SaND Widgets in IBM Connections
Homepage

Profiles

8

Communities

© 2014 IBM Corporation
IBM Haifa Research Lab

SaND Visualization

9

© 2014 IBM Corporation
IBM Haifa Research Lab

SaND meets FAST

Researchers’ annotations are used to infer relationships, suggest groups
of interest, assign “personal profile” to a researcher, and provide
recommendations of people and content.

10

© 2014 IBM Corporation
IBM Haifa Research Lab

Extending the Entity Model to Support Social Services
id

offset

occupation

id

Mentioned

create_date

Person

religion

mentioned_date
type

origin

Deposition
document

name

PersonLocation

nature
publisher

Mentioned

Location

id

Event

content

id

offset

Mentioned

offset

name
id

Annotation
tag

person
Researcher

function
institute

content

offset

creation_date

11

email

© 2014 IBM Corporation
IBM Haifa Research Lab

Summary and Future Work
•

Framework for exploiting users’ annotations on texts, thus fostering
collaboration and relationships among researchers of heritage collections

•

Extending Entity-Relationship model to support social activities

•

IBM’s Social Networks and Discovery (SaND)

•

Future work includes implementation of the proposed ideas into a
prototype and evaluation with actual users

12

© 2014 IBM Corporation
IBM Haifa Research Lab

13

© 2014 IBM Corporation

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Enhancing Digital Cultural Heritage Collections with Social Network Capabilities

  • 1. IBM Haifa Research Lab Enhancing Digital Cultural Heritage Collections with Social Network Capabilities Maristella Agosti (agosti@dei.unipd.it), Nicola Ferro (ferro@dei.unipd.it) Sara Porat (porat@il.ibm.com), Ella Rabinovich (ellak@il.ibm.com) © 2014 IBM Corporation
  • 2. IBM Haifa Research Lab What is CULTURA • Digital humanities portal supporting the exploration of cultural heritage collections by a range of different users • • • Professional researchers and historians Students with little or no experience of a particular archive There are three digitised collections in the portal • 1641 Depositions (http://cultura-project.eu/1641/) • Bureau of Military History - 1916 Rising (http://cultura-project.eu/1916) • IPSA Collection (http://cultura-project.eu/ipsa) 2 © 2014 IBM Corporation
  • 3. IBM Haifa Research Lab Motivation and Goals Increase the engagement of researchers with digital heritage collections by inferring social network between researchers and discovering relationships among them; that, by exploiting researchers’ annotations. • Social network of researchers, based on inferred relations • Content and people recommendations • Adaptive personalized search 3 © 2014 IBM Corporation
  • 4. IBM Haifa Research Lab The 1641 Depositions • Collection of noisy text documents, mainly of legal nature • Contain witness testimonies from Irish people following the outbreak of rebellion by the Catholic Irish in 1641 • Contains over 8,000 depositions of 20,000 pages dating from the 17th Century • Inconsistent in spelling, punctuation and nomenclature 4 © 2014 IBM Corporation
  • 5. IBM Haifa Research Lab Flexible Annotation Semantic Tool (FAST) • Annotation is a multimedia object constituted by different signs • • textual signs, image signs etc. User can annotate text or image, and create different types of annotations • • • Targeted annotation – associated with a specific part of a document Note – associated with the entire document Annotation has a scope that defines its visibility • Public, shared or private  targeted annotation note  5 © 2014 IBM Corporation
  • 6. IBM Haifa Research Lab Example of Annotation 6 © 2014 IBM Corporation
  • 7. IBM Haifa Research Lab Social Networks and Discovery (SaND) • IBM Social Analytics engine in IBM Connections • Provides social network and recommendations • • Recommendations for new users • • People and content recommendations All involve highly transparent explanations Personalized search • • Based on social networks and topics of interest Social relationship analysis • • • Social path from person to person Social graph visualization Community features 7 © 2014 IBM Corporation
  • 8. IBM Haifa Research Lab SaND Widgets in IBM Connections Homepage Profiles 8 Communities © 2014 IBM Corporation
  • 9. IBM Haifa Research Lab SaND Visualization 9 © 2014 IBM Corporation
  • 10. IBM Haifa Research Lab SaND meets FAST Researchers’ annotations are used to infer relationships, suggest groups of interest, assign “personal profile” to a researcher, and provide recommendations of people and content. 10 © 2014 IBM Corporation
  • 11. IBM Haifa Research Lab Extending the Entity Model to Support Social Services id offset occupation id Mentioned create_date Person religion mentioned_date type origin Deposition document name PersonLocation nature publisher Mentioned Location id Event content id offset Mentioned offset name id Annotation tag person Researcher function institute content offset creation_date 11 email © 2014 IBM Corporation
  • 12. IBM Haifa Research Lab Summary and Future Work • Framework for exploiting users’ annotations on texts, thus fostering collaboration and relationships among researchers of heritage collections • Extending Entity-Relationship model to support social activities • IBM’s Social Networks and Discovery (SaND) • Future work includes implementation of the proposed ideas into a prototype and evaluation with actual users 12 © 2014 IBM Corporation
  • 13. IBM Haifa Research Lab 13 © 2014 IBM Corporation

Notas del editor

  1. <number> 1641 Depositions – witness testimonies, mainly by Protestants, but also by Catholics concerning their experience during the 1641 Irish rebellion. These testimonies document different incidents like robbery, military actions, imprisonment and murder. 1916 Rising – documents events that happened during a rising that occurred at Enniscorthy (Ireland) in 1916. IPSA collection – a digital archive of illuminated medieval manuscripts, with high quality drawings and metadata (mainly herbs and astrology).
  2. <number>
  3. <number> 1641 Depositions – witness testimonies, mainly by Protestants, but also by Catholics concerning their experience during the 1641 Irish rebellion. These testimonies document different incidents like robbery, military actions, imprisonment and murder.
  4. <number>
  5. <number> User1 annotates deposition with annotation a1. The annotation refers to part of the text as highlighted in purple, and annotation type is “comment” (the html format allows formatting of comments). This annotation also relates to another deposition with “see also” link, and relates twice to the DBPedia page on Irish Rebellion – first mentioning a contributor, then with “see also” link where an image is used in annotation sign. User2 created an annotation an the deposition that a1 relates to - a simple but intuitive assumption is that these two researchers might have common topics of interest.
  6. Personalized search – boosting content/people that could be of more interest for me. Community features – we know what this community is interested in and recommend people for community, other communities, content.
  7. A very powerful tool for social analysis, network and recommendations. IBM connections – social software application (deployed in IBM, and is commercial) – blogs, wikis, file sharing… Left – suggestion of people to connect to (do you know), recommendations – content that might interest me. Middle – my things in common with Gail Chao. Right – communities recommended for me…
  8. Visualization of social network of people within IBM as retrieved by query “honda”. There is two slightly related communities, different colors for people stay for different countries, and different colors for their relations stay for different type of relationship: same organization, same communities, same tags, co-authorship…
  9. <number> We are interested to support social network of researchers by using their annotations – recommend content and people (other researchers that commented on the same deposition, and may be on the same part of it). Generate personal recommendations for researchers, based on depositions that worked with and annotations they made. Infer groups of researchers, may be forming them into communities of professional users.