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MACHINE LEARNING


AND CULTURAL HERITAGE:


WHAT IS IT GOOD ENOUGH FOR?
JOHN STACK, DIGITAL DIRECTOR


AEOLIAN NETWORK’S ONLINE WORKSHOP 1


7 JULY 2021
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
HERITAGE CONNECTOR PROJECT


TRANSFORMING TEXT INTO DATA TO EXTRACT
MEANING AND MAKE CONNECTIONS
How can existing digital tools and methods be
used to build relationships at scale between
poorly and inconsistently catalogued digitised
collection objects and other content sources?
HERITAGE CONNECTOR PROJECT
This is our collection
now..
Small islands of thin data
This is our collection
connected to
Wikidata…
Small islands of connected
data
This is our collection
interlinked via
information extraction
techniques…
Small islands of connected
and interlinked data
This is our collection
with new groupings…
Small islands of connected
and interlinked data exposing
new groupings


Industry
Space
Medicine
HERITAGE CONNECTOR PROJECT
i. Improve collection interfaces


ii. Improve discovery


iii. Improve links to other sources
A. Arti
fi
cial intelligence


B. Linked data


C. Knowledge graphs


HERITAGE CONNECTOR PROJECT
i. Improve collection interfaces


ii. Improve discovery


iii. Improve links to other sources
DATA SOURCES
• Science Museum Group collection catalogue


• V&A collection catalogue


• Wikidata


• Science Museum Group Journal


• Science Museum blogs
A. Arti
fi
cial intelligence


B. Linked data


C. Knowledge graphs


HERITAGE CONNECTOR PROJECT
i. Improve collection interfaces


ii. Improve discovery


iii. Improve links to other sources
A. Arti
fi
cial intelligence


B. Linked data


C. Knowledge graphs


HERITAGE CONNECTOR PROJECT
i. Improve collection interfaces


ii. Improve discovery


iii. Improve links to other sources
A. ARTIFICIAL INTELLIGENCE


B. LINKED DATA


C. KNOWLEDGE GRAPHS
A. ARTIFICIAL INTELLIGENCE


B. LINKED DATA


C. KNOWLEDGE GRAPHS
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
A. ARTIFICIAL INTELLIGENCE


B. LINKED DATA


C. KNOWLEDGE GRAPHS
A. ARTIFICIAL INTELLIGENCE
• Easy Wins: Processing IDs and URLs (links)


• Disambiguation: Adding new links to Wikidata with machine
learning


• Named entity recognition: Adding new links from catalogue text
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
EASY WINS (EXISTING IDS)
DISAMBIGUATION
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Number of records with a sameAs link to Wikidata
recordType no with sameAs link total no %
PERSON 6065 12827 47.28%
ORGANISATION 1790 10859 16.48%
OBJECT 787 281964 0.28%
NAMED ENTITY RECOGNITION (NER)
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Using Rules to Augment NER
Date detection ↑ 1.5%, collection & archive names ↑ 0.5%
A Collection as a Dictionary
↑ 3.2%
Machine Learning and Cultural Heritage: What Is It Good Enough For?
SUM of
count
entPredica
te
linked?
hc:entityFA
C
hc:entityLANGUA
GE
hc:entityL
OC
hc:entityNO
RP
hc:entityOBJE
CT
hc:entityO
RG
hc:entityPERS
ON
Grand
Total
collection 7,487 112,219 42,778 162,484
unlinked 11,804 2,521 16,545 27,245 28,759 81,641 44,130 212,645
wikidata 20,638 12,217 139,607 32,544 23,414 89,033 55,103 372,556
Grand Total 32,442 14,738 156,152 59,789 59,660 282,893 142,011 747,685
Number of Wikidata pages in the KG: -> -> 108,693
Number of SMG pages in the KG by type: OBJECT 281,964 353,329
ORGANISATION 10,859
BLOG_POST 1,293
PERSON 12,827
DOCUMENT 46,219
JOURNAL_ARTICLE 167
A. Arti
fi
cial intelligence


B. Linked data


C. Knowledge graphs


HERITAGE CONNECTOR PROJECT
i. Improve collection interfaces


ii. Improve discovery


iii. Improve links to other sources
KNOWLEDGE GRAPH INTERFACE
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
NEXT STEPS
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Machine Learning and Cultural Heritage: What Is It Good Enough For?
Heritage Connector Widget(s)
MACHINE LEARNING AND CULTURAL HERITAGE: WHAT
IS IT GOOD ENOUGH FOR?
MACHINE LEARNING AND CULTURAL HERITAGE: WHAT
IS IT GOOD ENOUGH FOR?
• Suggesting possibilities and highlighting connections.


• Identifying trends and gaps.


• Visualising range and diversity of collections.


• Identifying related content.


• Working at scale.


• Bringing in new terminology alongside collection catalogue.
BUT…
• ML generated content needs framing/contextualisation.


• False positives not always apparent or might require specialist
skills or knowledge.


• Challenges cultural heritage notions of “canonical” collection
catalogue data.


• Need to understand what we can’t do yet.


• Important to approach critically.
THANKS
THANKS
https://www.sciencemuseumgroup.org.uk/project/heritage-connector/


https://thesciencemuseum.github.io/heritageconnector/


https://github.com/TheScienceMuseum/heritage-connector/


https://onlinelibrary.wiley.com/doi/epdf/10.1002/ail2.23

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