Presentaiton by Lora Aroyo and Guus Schreiber July 7, 2010

1. Integra(ng
Social
Web
&
TV
with
help
of
seman(cs
Lora
Aroyo
&
Guus
Schreiber
Computer
Science
VU
University
Amsterdam

2. Seman(c
Web
@
VU
Amsterdam
• 40
people,
two
groups:
Web
&
Media
(Schreiber),
Knowledge
Representa(on
&
Reasoning
(van
Harmelen)
• A
few
ongoing
projects:
– europeana.eu:
EU
culture
portal
– NL
projects
on
access
to
cultural
heritage:
CHIP,
Agora
– EU
NoTube:
Web
&
TV
seman(c
integra(on
– PrestoPrime:
user-­‐generated
annota(ons
and
content
for
TV
archives
– EU
LarKC:
plaRorm
for
massive
distributed
reasoning

3. The
Linked
Data
Web:
typed
resources
and
links
Painting Dublin Core ULAN
“Woman with hat
SFMOMA creator Henri Matisse
Web link
URL URL

5. Demo
using
linked
data
(RPI,
Hendler)

7. The
power
of
simple
alignments
“Tokugawa”
AAT style/period SVCN
Edo (Japanese period) period
Tokugawa Edo
AAT is Getty’s SVCN is local in-house
Art & Architecture Thesaurus ethnology thesaurus

8. hVp://e-­‐culture.mul(median.nl/demo/search

9. Europeana
Thought
Lab
cloud

10. From
metadata
to
seman(c
metadata
SKOS EDM
1. Make vocabulary 2. Align metadata
interoperable schema
4. Align vocabulary 3. Enrich metadata

11. Enriching
the
metadata

12. Resul(ng
seman(c
annota(on

14. Personalized
Rijksmuseum
http://chip-project.org
NoTube 1st review

15. Personalized
Rijksmuseum
http://chip-project.org
05-06 May NoTube 1st review 15
2010

16. Mobile
Museum
Tour
http://www.chip-project.org/demo/mobileguide/index.jsp

17. Crowdsourcing:
Video
Tagging
Games
http://waisda.nl

18. NoTube:
Making
Television
More
Personal
hVp://www.notube.tv

19. Acronym
and
consor(um

20. NoTube
slogan:
Pu#ng
the
user
back
in
the
driving
seat
Observa(ons:
• Personalized
services
are
now
common
• But:
user
data
is
s(ll
under
control
of
separate
applica(ons
• Result:
user
is
faced
with
mul(tude
of
distributed
personal
data,
hidden
in
tons
of
inaccessible
cookies

22. NoTube
building
blocks
(1)
1.
TV
metadata
services
EPG
metadata
grabbers
–
from
170+
channels
(issue:
channel
URLs)
–
metadata
format:
TV
Any(me
–
real-­‐(me
service
2.
Metadata
enrichment
– Add
links
to
external
Web
vocabularies
and
repositories:
Lupedia
service

23. NoTube
building
blocks
(2)
3.
Linked
Open
Data
for
TV
– Access
services
to
major
vocabularies
– Alignment
services
between
major
vocabularies,
where
needed
(e.g.
genre
typologies)
4.
User
acKvity
streams
– Standard
for
ac(vity
stream
representa(on,
i.e.
Atom
Ac(vity
Stream
– Access
services
to
ac(vity
streams,
e.g.
YouTube,
TwiVer,
..
– Trusted
access
to
“friend”
informa(on,
e.g.
implementa(on
of
standard
like
OAuth
2.0

24. NoTube
building
blocks
(3)
5.
User
profiling
Services
for
genera(ng
user
preferences
–
“Beancounter”
–
abstrac(ons
from
ac(vity
stream
User-­‐model
representa(on
based
on
FOAF,
i.e.
weighted
interests
and
considering
context
6.
Recommender
services
Collabora(ve
recommenders,
e.g.
preferences
of
friends
Content-­‐based
recommenders,
e.g.
program
about
Alma
Mahler

program
about
Walter
Gropius
Experiment
with
mix
of
these
recommenders
for
single
users
and
small
groups
of
users,
e.g.
families,
friends

25. Usage
scenario
&
demo

26. http://notube.tv
Thank
you
Ques(ons?
A world of opportunities is
opening!