Changing the perspective: From OWL profiles to User profiles

Changing the perspective: OWL USER profiles Lora Aroyo [email_address] Web & Media Group Faculty of Computer Science VU University Amsterdam, The Netherlands http://www.cs.vu.nl/~laroyo twitter: @laroyo

Acknowledgements
Kamil Afsar
Pieter Bellekens
Dan Brickley
Maarten Brinkerink
Rahul Choudhury
Annelies van Ees
Michiel Hildebrandt
Geert-Jan Houben
Peter Gorgels
Riste Gligorov
Annelies Kaptein
Johan Oomen
Jacco van Ossenbruggen
Guus Schreiber
Natalia Stash
Just Vervaart
Yiwen Wang

use case 1: the semantics of Marilyn Monroe iFanzy personalized program guide http://ifanzy.nl

http://ifanzy.nl

take home message
The challenge is to:
combine semantics with user context
combine real world & web user data
determine user relevance
We need:
real applications, long-term usage and continuous development and testing
with real (Web & other) content

use case 2: who knows most about Johan van Oldenbarneveld? semantic annotation of 700 000 prints of the Rijksmuseum http://e-culture.multimedian.nl/pk/annotate ?

multiple vocabularies

users, semantics and content © danbri

distributed context © danbri

some of the issues
Collection of activities/context/attention data
Derive interests from this data
Recommender-specific problems, e.g. cold start, over-specialization
Surface programs of interest in the ‘long tail’
Cross-domain recommendations
Multi-person recommending
Granular control for users

generate automatically tours http://www.chip-project.org/demo/

semantic recommendations

semantic features

semantic relationships

semantic tagging: video

semantic tagging: video www.waisda.nl

www.waisda.nl most used tags discovered tags highest scored tags

some of the issues
vocabularies are : large, heterogenous and overlap ( semantic interoperability required )
interface is challenged for: large coverage & effective presentation of results
images vs videos :
videos segmentation
annotation per segment
aggregate all the annotations together
previous segments (context for suggestions and disambiguation)

take home message
The challenge is:
to combine semantics with user context
to combine physical world & web-world
to find relevance (rank & select) to the end user
We need:
real applications, users & context of use in long-term usage and continuous testing
with real (Web & other) content and user data

examples: semantic television

Extra slides

breaking walls - building bridges
Distributed, Web-based multimedia collections
Semantic Culture Web
MultimediaN E-Culture: cultural search engine
Europeana: the EU Culture portal
CHIP: personalized museums
Semantic Television
iFanzy, NoTube, PrestoPrime
annotation and access to TV archives
personalized integration of TV and Web content

examples: semantic search

semantics and content http://e-culture.multimedian.nl/software/ClioPatria.shtml

semantic annotation: video

Changing the perspective: From OWL profiles to User profiles

by Lora Aroyo

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