Integra(ng Social Web & TV with help of seman(cs
Lora Aroyo & Guus Schreiber Computer Science
VU University Amsterdam
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
The Linked Data Web: typed resources and links
URL URL
Web link
ULAN
Henri Matisse
Dublin Core
creator
Painting “Woman with hat SFMOMA
Demo using linked data (RPI, Hendler)
The power of simple alignments “Tokugawa”
SVCN period Edo
SVCN is local in-house ethnology thesaurus
AAT style/period Edo (Japanese period) Tokugawa
AAT is Getty’s Art & Architecture Thesaurus
hVp://e-‐culture.mul(median.nl/demo/search
Europeana Thought Lab cloud
From metadata to seman(c metadata
1. Make vocabulary interoperable
2. Align metadata schema
3. Enrich metadata 4. Align vocabulary
SKOS EDM
Enriching the metadata
Resul(ng seman(c annota(on
NoTube 1st review
Personalized Rijksmuseum
http
://ch
ip-p
roje
ct.o
rg
05-06 May 2010
NoTube 1st review 15
Personalized Rijksmuseum
http
://ch
ip-p
roje
ct.o
rg
Mobile Museum Tour
http://www.chip-project.org/demo/mobileguide/index.jsp
Crowdsourcing: Video Tagging Games
http
://w
aisd
a.nl
NoTube: Making Television More Personal
hVp://www.notube.tv
Acronym and consor(um
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
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
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
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
Usage scenario & demo
http://notube.tv
A world of opportunities is opening!
Thank you Ques(ons?
