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The Benefits of Linking
Metadata for Internal
and External users of
an Audiovisual Archive
Victor de Boer,
Tim de Bruyn,
John Brooks,
Jesse de Vos
With content from: M. Brinkerink, J. Oomen
Some examples
Netherlands Institute for Sound and Vision (Beeld en Geluid)
Individuals
Media professionals
Heritage/museum
professionals
Teachers and pupils
Researchers
Research & Development at NISV
R&D initiates, stimulates and facilitates research and
development. At the same time it also collects knowledge and
practical examples from inside and outside the institute and
offers this to knowledge organisations, colleagues in the sector
and other interested parties.
11 Petabyte of data
65,000 hrs of yearly ingest
Digitization of old material
Digital-born new content
CC-by-nc-nd https://www.flickr.com/photos/joinash/
Moving away from silos
Linked Data
"Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net
...TO CONTEXT: MUTUALLY CONNECTED
COLLECTIONS...
24-10-2018
Connecting collections:
topics, people, genres, etc
Catalogue
Photos
B&GWiki
Programmeguides
Internal: Video hyperlinking
External: Networked heritage
Machine readable format
Standardized
Flexibility to connect heterogeneous data
Link what can be linked
re-use and re-usability
OBJECT EVENT
PLACE
TIME
PERSON
CONCEPT
PROVENANCE
Why Linked Open Data
The Benefits of Linking
Metadata for Internal
and External users of
an Audiovisual Archive
Victor de Boer,
Tim de Bruyn,
John Brooks,
Jesse de Vos
• RDF SKOS thesaurus
• ~160.000 terms used in object
metadata fields:
– ~3800 Subjects,
– ~97.000 Persons,
– ~27.000 Names,
– ~14.000 Locations,
– 113 Genres
– ~18.000 Makers
• http://gtaa.beeldengeluid.nl/
Gemeenschappelijke Thesaurus
Audiovisuele Archieven (GTAA)
ALIGNMENTVRT thesaurus GTAA
Example: Linking Dutch and Flemish collections
de Boer et al. Exploring Audiovisual Archives through Aligned Thesauri. Proceedings of MTSR2016
• “Collaboratively
edited knowledge base”
• Drives ‘facts’ in Wikipedia
• 50 Million items 500M
statements (=triples)
• Wikidata query service
https://query.wikidata.org/
WikiData: General-purpose Knowledge Graph
https://tools.wmflabs.org/mix-n-match/
Alignments: Mix ‘n’ Match tool
• 10,350 GTAA persons
matched at time of
writing. Currently 45.000
• Based on labels and
contextual information
– skos:scopeNote, other
https://www.wikidata.org/wiki/Q37079
Mix ‘n’ Match results
Analysis of the data
Interviews
Describing use cases
Partial implementation of cases
Validate with interviewees
Improve
Identifying value: Method
Properties of Linked Wikidata persons
Internal and External use cases
Internal: Tim de Bruyn
Interviews with NISV employees
1) intake,
2) information management
3) research and development
External: John Brooks
Interviews with Media Scholars
Internal and External use cases
UC-I-1: Receiving an alert when the
copyright on a person's work expires.
• Dutch copyright expiration
laws
• Using GTAA and WikiData
“Date of death”
• WikiData occupations
(~800)
• Manual selection of
relevant occupations
• (Fields of television,
movies, radio, theater
and music
• Google Calendar alert
UC-I-2: Provide more information on
a person appearing in online story
• NISV story platform
• more information on a
person in story
• Automatic generated
description
UC-I-3: Using Wikidata for story
recommendation.
• Stories you might also like
• Manually selected properties
for semantic
recommendation
• Using properties as metadata
• Threshold on matching
properties
UC-E-1: Exploratory extension of the
CLARIAH Media Suite
• http://mediasuite.clariah.nl/
• Media Scholars
• Combines datasets and analysis tools in an integrated workspace
UC-E-1: Wikidata retrieval service
• Based on interviews with five
users of the Media Suite,
focusing on 1) Drugs, 2) Sports,
3) Occupations, 4) History and
5) Disruptive media events
• Exploratory search by
properties
• Send SPARQL query to Wikidata
Query Service
• Retrieve list of persons based
on properties
• View additional information
(Wikidata/GTAA)
• Exploratory search
UC-E-1: Exploratory extension of the
CLARIAH Media Suite
UC-E-1: Exploratory extension of the
CLARIAH Media Suite
● Interviewees
● Four tasks,
○ Sports, politics, disruptive media events
● Share feedback
○ Discuss limitations
○ Propose improvements
● Added value for exploratory search
● Provides insight into background knowledge
● Participants report feeling grasping the context
● Data (in)completeness is a major issue
UC-E-1: Validation
Take home
Connecting archives to background information
using Linked Databrings new possibilities for
access, analysis of content
WikiData is becoming de-facto standard for generic
background knowledge
Shift from tech push to user needs
We show added value for a variety of users
Data completeness and Quality are (and will
remain) key
v.de.boer@vu.nl
http://victordeboer.com
@victordeboer
Thank you
The Benefits of Linking Metadata for Internal and External users of an Audiovisual Archive

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The Benefits of Linking Metadata for Internal and External users of an Audiovisual Archive

  • 1. The Benefits of Linking Metadata for Internal and External users of an Audiovisual Archive Victor de Boer, Tim de Bruyn, John Brooks, Jesse de Vos With content from: M. Brinkerink, J. Oomen
  • 2. Some examples Netherlands Institute for Sound and Vision (Beeld en Geluid)
  • 3.
  • 5. Research & Development at NISV R&D initiates, stimulates and facilitates research and development. At the same time it also collects knowledge and practical examples from inside and outside the institute and offers this to knowledge organisations, colleagues in the sector and other interested parties.
  • 6. 11 Petabyte of data 65,000 hrs of yearly ingest Digitization of old material Digital-born new content
  • 7.
  • 9. Linked Data "Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net
  • 10. ...TO CONTEXT: MUTUALLY CONNECTED COLLECTIONS... 24-10-2018 Connecting collections: topics, people, genres, etc Catalogue Photos B&GWiki Programmeguides Internal: Video hyperlinking
  • 12. Machine readable format Standardized Flexibility to connect heterogeneous data Link what can be linked re-use and re-usability OBJECT EVENT PLACE TIME PERSON CONCEPT PROVENANCE Why Linked Open Data
  • 13. The Benefits of Linking Metadata for Internal and External users of an Audiovisual Archive Victor de Boer, Tim de Bruyn, John Brooks, Jesse de Vos
  • 14. • RDF SKOS thesaurus • ~160.000 terms used in object metadata fields: – ~3800 Subjects, – ~97.000 Persons, – ~27.000 Names, – ~14.000 Locations, – 113 Genres – ~18.000 Makers • http://gtaa.beeldengeluid.nl/ Gemeenschappelijke Thesaurus Audiovisuele Archieven (GTAA)
  • 15. ALIGNMENTVRT thesaurus GTAA Example: Linking Dutch and Flemish collections de Boer et al. Exploring Audiovisual Archives through Aligned Thesauri. Proceedings of MTSR2016
  • 16. • “Collaboratively edited knowledge base” • Drives ‘facts’ in Wikipedia • 50 Million items 500M statements (=triples) • Wikidata query service https://query.wikidata.org/ WikiData: General-purpose Knowledge Graph
  • 18. • 10,350 GTAA persons matched at time of writing. Currently 45.000 • Based on labels and contextual information – skos:scopeNote, other https://www.wikidata.org/wiki/Q37079 Mix ‘n’ Match results
  • 19. Analysis of the data Interviews Describing use cases Partial implementation of cases Validate with interviewees Improve Identifying value: Method
  • 20. Properties of Linked Wikidata persons
  • 21. Internal and External use cases Internal: Tim de Bruyn Interviews with NISV employees 1) intake, 2) information management 3) research and development External: John Brooks Interviews with Media Scholars Internal and External use cases
  • 22. UC-I-1: Receiving an alert when the copyright on a person's work expires. • Dutch copyright expiration laws • Using GTAA and WikiData “Date of death” • WikiData occupations (~800) • Manual selection of relevant occupations • (Fields of television, movies, radio, theater and music • Google Calendar alert
  • 23. UC-I-2: Provide more information on a person appearing in online story • NISV story platform • more information on a person in story • Automatic generated description
  • 24. UC-I-3: Using Wikidata for story recommendation. • Stories you might also like • Manually selected properties for semantic recommendation • Using properties as metadata • Threshold on matching properties
  • 25. UC-E-1: Exploratory extension of the CLARIAH Media Suite • http://mediasuite.clariah.nl/ • Media Scholars • Combines datasets and analysis tools in an integrated workspace
  • 26. UC-E-1: Wikidata retrieval service • Based on interviews with five users of the Media Suite, focusing on 1) Drugs, 2) Sports, 3) Occupations, 4) History and 5) Disruptive media events • Exploratory search by properties • Send SPARQL query to Wikidata Query Service • Retrieve list of persons based on properties • View additional information (Wikidata/GTAA) • Exploratory search
  • 27. UC-E-1: Exploratory extension of the CLARIAH Media Suite
  • 28. UC-E-1: Exploratory extension of the CLARIAH Media Suite
  • 29. ● Interviewees ● Four tasks, ○ Sports, politics, disruptive media events ● Share feedback ○ Discuss limitations ○ Propose improvements ● Added value for exploratory search ● Provides insight into background knowledge ● Participants report feeling grasping the context ● Data (in)completeness is a major issue UC-E-1: Validation
  • 30. Take home Connecting archives to background information using Linked Databrings new possibilities for access, analysis of content WikiData is becoming de-facto standard for generic background knowledge Shift from tech push to user needs We show added value for a variety of users Data completeness and Quality are (and will remain) key