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February 24th 2017 @VU
Program today
16:00 - 16:20 Linkflows Intro (Cristina)
16:20 - 16:30 Web & Media Intro (Tobias, Davide, Lora)
16:30 - 16:40 Presentation IOS press (Maarten)
16:40 - 16:50 Presentation NS&V (Johan)
16:50 – 17:00 Coffee break
17:00 - 18:00 Discussion
About me…
Cristina-Iulia Bucur
Relevant background
 Research and academic projects
 INVENiT: semantic web, Linked Data, crowdsourcing
 Accurator: working with the Rijksmuseum collection
 DigiBird: integrate online collections, different media
 Practical experience: IT company
 Education: Computer Science, Bioinformatics
Linkflows in a nutshell
RESEARCH QUESTION HERE
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations
Note
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc.
Note
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc., better valorized and efficiently assessed
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc., better valorized and efficiently assessed in
a way that allows for their automated interlinking
Note
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc., better valorized and efficiently assessed in
a way that allows for their automated interlinking
Dataset
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc., better valorized and efficiently assessed in
a way that allows for their automated interlinking, quality evaluation
TheGradStudentWay.com
YESSS!
I finished it!
Linkflows in a nutshell
Can we make scientific contributions on the Web, e.g. articles, reviews,
blog posts, multimedia objects, datasets, individual data entries,
annotations, discussions, etc., better valorized and efficiently assessed in
a way that allows for their automated interlinking, quality evaluation
and inclusion in scientific workflows?
Note
Approaches
1. Automated interlinking - Publishing Infrastructure
 Provenance-aware semantic modeling
2. Quality evaluation - Assessment framework
 Crowdsourcing, expert nichesourcing
 Information extraction and machine learning
3. Inclusion in scientific workflows - Data Science Journal
Timeline (tentative)
Experiments
small-scale
prototype
[M1-M6]
Stable
unified
prototype
[M7-M9]
Evaluation
prototypes
[M10-M12]
Extend with
multimedia
objects +
automatic
assessment
[M13-M18]
Large scale
evaluation
[M19-M24]
Stable &
general
framework
[Y3-Y4]
We`re just getting started!
Follow us:
http://vu-amsterdam-web-media-group.github.io/linkflows/
Discussion
 Data sources
 Use Cases: semantic publishing + multimedia objects
 Logistics and supervision
 Schedule follow-up meetings
 Workshops or specific activities and venues
Web & Media group
Lora Aroyo, Davide Ceolin, Tobias Kuhn
Tobias:
Semantic Publishing: Nanopublications
Reliable Linking: Trusty URIs
Decentralized Data Publishing
Davide:
Combining Niche/crowdsourcing
… with Automated Reasoning
Maarten Fröhlich
IOS Press
1
2
• STM Publisher since 1987, 30 years in 2017
• Based in Amsterdam, the Netherlands
• 25 people working in the Amsterdam office
• Publishing ~85 journals, >80.000 journal articles
online
• >1000 Books (online)
3
• Medicine and Health
• Chemistry
• Computer and Communication
Sciences
• Engineering and Technology
• Environmental and Energy Sciences
• Life Sciences
• Materials Science
• Mathematics
• Social and Information Sciences
4
5
Future of publishing
‐Semantic Enrichment
‐ Data mining
‐ Data linking
‐ Data Publishing
‐ Big Data
‐ Open Data
‐ Better metrics
‐ Better author services
‐ Better peer review
Johan Oomen
Head of Research
Netherlands Institute for Sound and Vision
Innovation at Sound and Vision
Linkflows
@johanoomen
“We enable everyone to utilize the
collections to learn, experience and create.”
Film from 1898 onwards
Television from 1951
Advertising 1920
Cinema journals ‘22–’80
Radio from 1934
Dutch royal family collection
Dutch football league archive
National Music Archive
Objects related to media
Web video
Amateur film
Documentary film
Photographs
Websites
Visual art collections
…and much more.
a million hours
“Images for the Future” digitisation programme (2007-2014)
137.200 hours video MXF SD (HD for Film)
17.510 hours film (DPX and MXF)
123.900 hours audio WAF
1.200.000 photo’s TIFF
http://beeldenvoordetoekomst.nl/publicatie/
A
size ~13
petabyte
Visuals https://vimeo.com/51425368 - Sebastiaan ter Burg CC-BY
+ backup
~13 petabyte
A
annual ingest:
8.000 hrs video
54.000 hrs radio
=
~1,5 petabyte
Visuals https://vimeo.com/51425368 - Sebastiaan ter Burg CC-BY
Sound and Vision - Channels
general public
media studies scholars
Sound and Vision - Channels
general public through 3rd party platforms
open collections: access through syndication
www.openimages.eu
Research and Innovation agenda: 5 topics
…in collaboration with universities and other research partners
Access, use
and context
Digitisation
&
Digital
Durability
Metadata UsersHumanities
labs.beeldengeluid.nl
labs.beeldengeluid.nl
13
labs.beeldengeluid.nl
Technology transfer - the Accelerator Team
R&D Development ICT
Daily&produc-on&Demonstrators&
spin-off SME’s
16
18
Credits
Johan Oomen
Netherlands Institute for Sound and Vision
@johanoomen
& @benglabs
20
WikisTwitter
Subtitles
Importer
NewsCrowdsourcing
Data gathering
Low-level features
Multimedia
content analysis
today sniper fire disrupted the funeral of an
eleven year old ethnic albanian boy he was
killed yesterday while while chopping wood
his family blames serb police before his death
louisiana state police now say six workers
were killed after a natural gas well exploded
and caught fire about forty five miles east of
shreveport four others were injured in
yesterday's blast a police spokesman says the
derek started to melt in the intense heat the
Audio transcripts Concept detectors
Speaker identification Face recognition
Machine analysis
23
24
core functions, require 24/7 uptime;
off-the-shelf solutions
Two-speed IT
1. Solid foundation (MAM system)
2. Open source software from R&D
3. Agile in-house software development
4. Collaboration with spin-offs (customization,
processing, support)
26
Technology transfer - the Accelerator Team
R&D Development ICT
Daily&produc-on&Demonstrators&
Technology transfer - the Accelerator Team
R&D Development
Production &
Maintenance
Products, not
projects
Incremental
development
Demo every two
weeks
Daily&produc-on&Demonstrators&
Multi-annual
research agenda
Collaborative
projects
Day-to-day
maintenance
Contact with 3rd
parties
Technology transfer - the Accelerator Team
R&D Development ICT
Daily&produc-on&Demonstrators&
spin-off SME’s
Entity extraction
Extracting keywords from the thesaurus from
subtitles
=> import in MAM system
Currently working with two services
x-TAS (University of Amsterdam)
Textrazor
Reseach partners Spin-off SME
Entity extraction
Victor de Boer, oeland J.F. Ordelman and Josefien Schuurman: ‘Practice-oriented
Evaluation of Unsupervised Labeling of Audiovisual Content in an Archive Production
Environment.’ (to appear)
Entity extraction TESS
(Term Extraction Service)
Dashboard
http://gtaa.beeldengeluid.nl/
text: http://www.volkskrant.nl/dossier-britse-verkiezingen/
cameron-groot-brittannie-nog-groter-maken~a4008460/

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Kick-off meeting Linkflows project

  • 2. Program today 16:00 - 16:20 Linkflows Intro (Cristina) 16:20 - 16:30 Web & Media Intro (Tobias, Davide, Lora) 16:30 - 16:40 Presentation IOS press (Maarten) 16:40 - 16:50 Presentation NS&V (Johan) 16:50 – 17:00 Coffee break 17:00 - 18:00 Discussion
  • 4.
  • 5. Relevant background  Research and academic projects  INVENiT: semantic web, Linked Data, crowdsourcing  Accurator: working with the Rijksmuseum collection  DigiBird: integrate online collections, different media  Practical experience: IT company  Education: Computer Science, Bioinformatics
  • 6. Linkflows in a nutshell RESEARCH QUESTION HERE
  • 7. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews
  • 8. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts
  • 9. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects
  • 10. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries
  • 11. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations Note
  • 12. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc. Note
  • 13. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed
  • 14. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed in a way that allows for their automated interlinking Note
  • 15. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed in a way that allows for their automated interlinking Dataset
  • 16. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed in a way that allows for their automated interlinking, quality evaluation TheGradStudentWay.com YESSS! I finished it!
  • 17. Linkflows in a nutshell Can we make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed in a way that allows for their automated interlinking, quality evaluation and inclusion in scientific workflows? Note
  • 18. Approaches 1. Automated interlinking - Publishing Infrastructure  Provenance-aware semantic modeling 2. Quality evaluation - Assessment framework  Crowdsourcing, expert nichesourcing  Information extraction and machine learning 3. Inclusion in scientific workflows - Data Science Journal
  • 20. We`re just getting started! Follow us: http://vu-amsterdam-web-media-group.github.io/linkflows/
  • 21. Discussion  Data sources  Use Cases: semantic publishing + multimedia objects  Logistics and supervision  Schedule follow-up meetings  Workshops or specific activities and venues
  • 22. Web & Media group Lora Aroyo, Davide Ceolin, Tobias Kuhn
  • 29. … with Automated Reasoning
  • 31. 2 • STM Publisher since 1987, 30 years in 2017 • Based in Amsterdam, the Netherlands • 25 people working in the Amsterdam office • Publishing ~85 journals, >80.000 journal articles online • >1000 Books (online)
  • 32. 3 • Medicine and Health • Chemistry • Computer and Communication Sciences • Engineering and Technology • Environmental and Energy Sciences • Life Sciences • Materials Science • Mathematics • Social and Information Sciences
  • 33. 4
  • 34. 5 Future of publishing ‐Semantic Enrichment ‐ Data mining ‐ Data linking ‐ Data Publishing ‐ Big Data ‐ Open Data ‐ Better metrics ‐ Better author services ‐ Better peer review
  • 35.
  • 36. Johan Oomen Head of Research Netherlands Institute for Sound and Vision Innovation at Sound and Vision Linkflows @johanoomen
  • 37. “We enable everyone to utilize the collections to learn, experience and create.”
  • 38. Film from 1898 onwards Television from 1951 Advertising 1920 Cinema journals ‘22–’80 Radio from 1934 Dutch royal family collection Dutch football league archive National Music Archive Objects related to media Web video Amateur film Documentary film Photographs Websites Visual art collections …and much more. a million hours
  • 39.
  • 40. “Images for the Future” digitisation programme (2007-2014) 137.200 hours video MXF SD (HD for Film) 17.510 hours film (DPX and MXF) 123.900 hours audio WAF 1.200.000 photo’s TIFF http://beeldenvoordetoekomst.nl/publicatie/
  • 41. A size ~13 petabyte Visuals https://vimeo.com/51425368 - Sebastiaan ter Burg CC-BY + backup ~13 petabyte
  • 42. A annual ingest: 8.000 hrs video 54.000 hrs radio = ~1,5 petabyte Visuals https://vimeo.com/51425368 - Sebastiaan ter Burg CC-BY
  • 43. Sound and Vision - Channels general public media studies scholars
  • 44. Sound and Vision - Channels general public through 3rd party platforms open collections: access through syndication www.openimages.eu
  • 45. Research and Innovation agenda: 5 topics …in collaboration with universities and other research partners Access, use and context Digitisation & Digital Durability Metadata UsersHumanities
  • 47. 13
  • 49. Technology transfer - the Accelerator Team R&D Development ICT Daily&produc-on&Demonstrators& spin-off SME’s
  • 50. 16
  • 51.
  • 52. 18
  • 53. Credits Johan Oomen Netherlands Institute for Sound and Vision @johanoomen & @benglabs
  • 54. 20
  • 56. Low-level features Multimedia content analysis today sniper fire disrupted the funeral of an eleven year old ethnic albanian boy he was killed yesterday while while chopping wood his family blames serb police before his death louisiana state police now say six workers were killed after a natural gas well exploded and caught fire about forty five miles east of shreveport four others were injured in yesterday's blast a police spokesman says the derek started to melt in the intense heat the Audio transcripts Concept detectors Speaker identification Face recognition Machine analysis
  • 57. 23
  • 58. 24 core functions, require 24/7 uptime; off-the-shelf solutions
  • 59. Two-speed IT 1. Solid foundation (MAM system) 2. Open source software from R&D 3. Agile in-house software development 4. Collaboration with spin-offs (customization, processing, support)
  • 60. 26
  • 61. Technology transfer - the Accelerator Team R&D Development ICT Daily&produc-on&Demonstrators&
  • 62. Technology transfer - the Accelerator Team R&D Development Production & Maintenance Products, not projects Incremental development Demo every two weeks Daily&produc-on&Demonstrators& Multi-annual research agenda Collaborative projects Day-to-day maintenance Contact with 3rd parties
  • 63. Technology transfer - the Accelerator Team R&D Development ICT Daily&produc-on&Demonstrators& spin-off SME’s
  • 64. Entity extraction Extracting keywords from the thesaurus from subtitles => import in MAM system Currently working with two services x-TAS (University of Amsterdam) Textrazor Reseach partners Spin-off SME
  • 65. Entity extraction Victor de Boer, oeland J.F. Ordelman and Josefien Schuurman: ‘Practice-oriented Evaluation of Unsupervised Labeling of Audiovisual Content in an Archive Production Environment.’ (to appear)
  • 66. Entity extraction TESS (Term Extraction Service) Dashboard http://gtaa.beeldengeluid.nl/ text: http://www.volkskrant.nl/dossier-britse-verkiezingen/ cameron-groot-brittannie-nog-groter-maken~a4008460/