Presentation of factors to consider while developing your metadata and information management strategies within, especially public service, media.

1. Metadata for media companies
- case Svenska.yle.fi
Mikael Hindsberg, concept developer svenska.yle.fi
@mickhinds | mikael.hindsberg@yle.fi 2.5.2016
Background image: CC BY-SA http://commons.wikimedia.org/wiki/User:Mschel

2. Metadata is an investment!
● Yle has an task as “the nation's
memory”
● Archives are worth a lot less
without metadata
● Exceedingly the same goes for
web publishing
● Metadata is the fabric that ties the
web together
● Metadata gives content context
● Metadata also ties other data
together into graphs
● Central for a data first strategy

3. Content > Context > Metadata
• The home site (svenska.yle.fi) used to
give the content context
• Now 70% of the traffic comes from
search and social > brand lost
• And increasingly as plain data through
apps, social, search, instant articles,
Google AMP, etc. > context lost
• Metadata build autonomous context
and makes content findable

4. Content > Context > Metadata
• The home site (svenska.yle.fi) used to
give the content context
• Now 70% of the traffic comes from
search and social > brand lost
• And increasingly as plain data through
apps, social, search, instant articles,
Google AMP, etc. > context lost
• Metadata build autonomous context
and makes content findable

5. Content > Context > Metadata
• The home site (svenska.yle.fi) used to
give the content context
• Now 70% of the traffic comes from
search and social > brand lost
• And increasingly as plain data through
apps, social, search, instant articles,
Google AMP, etc. > context lost
• Metadata build autonomous context
and makes content findable

6. Content > Context > Metadata
• The home site (svenska.yle.fi) used to
give the content context
• Now 70% of the traffic comes from
search and social > brand lost
• And increasingly as plain data through
apps, social, search, instant articles,
Google AMP, etc. > context lost
• Metadata build autonomous context
and makes content findable

7. Agile data management
● Always have tangible goals
● Metadata should not be a
separate track
● Collaborate
● Evaluate
● Experiment
● Usage driven, not data
driven
● http://agiledata.org/essays/m
asterDataManagement.html

8. Types of metadata
• Descriptive
• Subjects, peoples,
organizations,
places, events,
etc.
• Technical
• Descriptive of
media metadata,
for example
camera data for
video.
• Organisational
• Rights management,
production data, etc.
• Journalistic
• Genre, urgency, life
length, storyline,
visuality, tone, mood,
consumption time,
etc.
"I Wonder". CC BY -
http://commons.wikimedia.org/wiki/File
:I_Wonder.jpg#mediaviewer/File:I_Wo
nder.jpg

9. Schemas
Descibe the data model
• Dublin Core
http://dublincore.org/
• EBU Core (Jean-Pierre Evain)
https://tech.ebu.ch/MetadataEbuCore
• CCDM (EBU Class Conceptual
Data Model)
https://tech.ebu.ch/docs/tech/tech3351.pdf
• Wikidata
https://www.mediawiki.org/wiki/Wikibase/DataModel

10. Metadata sources
• General terms,
people, places,
events, organisations,
creative work, etc
• What do you need?
https://www.wikidata.org/ | https://finto.fi/koko/en/ | http://www.leiki.com/

11. Wikidata
• Crowdsources tag
creation
• Normalisation
• Yle = notability
• Data hub
• Open and collaborative
• Blog post abt our work
with wikidata:
http://wikimedia.fi/2016/
04/15/yle-3-wikidata/

12. Finto
• Finnish thesaurus and
ontology service
• We use the KOKO
ontology, is a collection of
Finnish core ontologies,
which have been merged
together
• Based in a Finnish cultural
context
• Of very high semantic
standard, originally for
library use
• Trilingual & interlinked
https://finto.fi/koko/en/page/?clang=en&uri=p31696

13. This is how it works
https://www.youtube.com/watch?v=Wuwyvpf0Yy0
YILD:
Yle Integrator for
Linked Data
www.drupal.org/
project/yild

14. Recommendations
http://svenska.yle.fi/artikel/2016/04/29/yle-ger-inte-
panamamaterialet-till-skattemyndigheterna-yttrandefriheten-far-
inte
Recommendations based on
the tags
Recommen-
dations of
content in
finnish

15. Term pages
http://svenska.yle.fi/term/yle/18-150162/panamadokumenten
Link to the external source vocabulary
Interlinked with the rest of Yle over CMS,
organisation and language borders
● Brings Yle-content together
● Adds topical pages
● Gives the site structure
● Great for SEO
● Potential to manually control
● Potential to make more intelligent
○ Persons related to topic
○ Places related to topic / map
○ Most read
○ Graph
○ Discussion

16. Navigational aid
http://svenska.yle.fi/sport
Menu based on recently
most used tags
Subject markers on gathering /
front pages
● Gives good overview of
current subjects
● Navigational aid
● Internally good motivator
for editors to tag their
content

17. News app
News application for pushing news stories through metadata >> http://svenska.yle.fi/nyhetskollen

19. External reasons to do metadata
• Machine readable
• SEO
• Linked data
• Standardisation
• Collaboration
We have taken the first steps to
start opening up our API’s by
publishing the Programmes API.
When the Articles- and meta-API’s
are opened 3rd party developers
can build own versions of most of
our services
• http://developer.yle.fi/
tutorials.html

20. Journalism & metadata
• Quality
• Control
• Motivation
But the price is
that you have
to give up some
control ...
“If you want your content
to find its audience and
be read / watched /
listened to - put some
time on the metadata!”
• The editors generally do a
very good job with the
metadata
"I Wonder". CC BY -
http://commons.wikimedia.org/wiki/File
:I_Wonder.jpg#mediaviewer/File:I_Wo
nder.jpg

21. Graph data The same content after 3
months. The graph lives!

22. Annotation - machines vs. humans
Artificial intelligence
+ gaining intelligence fast
- quite early in
development yet
Journalists:
+ abstraction
+ logic
- inconsistency in both
quality and quantity
- poor attention to
detail
Algorithms:
+ attention to detail
+ consistency
- lack of human logic
- lack of language
knowledge - idioms
- great sense of detail

23. The future?
• Machine learning
• AI & robotics
• IoT & big data
• content vs. platforms
• data vs. brands
• articles vs. particles
http://nytlabs.com/blog/2015/10/20/particles/
EBU Metadata Network Workshop in
June 2016 in Geneva
https://tech.ebu.ch/events/2016/mdn
-workshop
Predicting the
future is the safest
way to be wrong.

24. Thank you! Questions?
Mikael ’Micke’ Hindsberg
mikael.hindsberg@yle.fi
twitter.com/mickhinds
www.slideshare.net/mickhinds
Background image: CC BY SA http://commons.wikimedia.org/wiki/User:Mschel