This document discusses personalized semantic search strategies. It describes researching how to make semantic search scalable and generalizable while taking into account user interests, historical events, spatial navigation preferences, and trust policies. It outlines an approach using linked open data with RDF/OWL representations of enriched vocabularies and metadata to create a highly interlinked semantic graph for semantic search. This approach aims to cluster and rank search results based on patterns. Several European projects applying these techniques to cultural heritage domains are also mentioned.

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
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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
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7. MultimediaN
Semantic Search
http://e-culture.multimedian.nl
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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
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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/
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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