1. PERSONALIZED
SEMANTIC SEARCH
SEALINCMedia
WP6
Lora Aroyo
VU University Amsterdam
@laroyo
Friday, October 14, 11

2. VU Amsterdam
• Web & Media group (CS Dept.)
• Part of VU Semantic Web group
• knowledge & ontology engineering
• semantic enrichment
• semantic search
• distributed Web-based multimedia collections
• interactive &personalized access
• visualization paradigms
Friday, October 14, 11

3. Objectives &
Research Topics
design, develop & evaluate
personalized semantic search
strategies
• scalable & generalizable
• historical events
• user interests
• spatial navigation
preferences
• trust policies
Friday, October 14, 11

4. Rijksmuseum
Amsterdam
http://chip-project.org
http://e-culture.multimedian.nl/
pk/annotate?uri=RP-P-
OB-77.320
Friday, October 14, 11

5. Netherlands Institute
for Sound & Vision
http://openimages.eu
http://academia.nl
PrestoPrime project
MUNCH project
CHOICE project
Friday, October 14, 11

6. Follow-up of
MultimediaN E-Culture
• Semantic Culture Web
• exploited in Europeana
• Open-source software
ClioPatria used in CHIP,
PrestoPrime, NoTube,
Poseidon, Agora
• Alliances with Sound &
Vision and Rijksmuseum
• Only scratched the surface in
MultimediaN
Friday, October 14, 11

7. MultimediaN
Semantic Search
http://e-culture.multimedian.nl
Friday, October 14, 11

8. Friday, October 14, 11

9. Europeana
Cultural Search
http://europeana.eu/portal/
thoughtlab.html
http://europeana.eu
Friday, October 14, 11

10. Friday, October 14, 11

11. The Approach
• linked open data
• RDF/OWL representations
of enriched vocabularies,
metadata, digital objects
• highly interlinked semantic
search graph of domain data
& user interest
• "patterns-based" search
• techniques for clustering and
ranking the search results
Friday, October 14, 11

12. CHIP: Personalized
Access to CH Data
http://www.chip-project.org/demo/
Friday, October 14, 11

13. Places of Interest:
Integrated Collections
Friday, October 14, 11

14. AGORA: Event-based
Searching & Browsing
http://agora.cs.vu.nl/demo/
Friday, October 14, 11

15. NoTube: Pattern-based
Recommendations
h"p://www.notube.tv/
Friday, October 14, 11

16. The Challenges
• collecting reliable user data
• building contextualized user
profiles
• combining “patterns-based” search
& recommendation strategies
• meet users interests &
preferences
• personalized presentation of
context-based narratives &
object sequences
Friday, October 14, 11

17. INTERTAIN@VU
Experimentation
http://intertain.cs.vu.nl/
Friday, October 14, 11