Presentation at the Semantic Web Challenge of the CHIP demonstrator: Semantics-driven Recommendations and Personalized Museum Tour Generation

1. CHIP Demonstrator
Semantics-driven Recommendations
and Personalized Museum Tour
Generation
Lora Aroyo
Natalia Stash
Yiwen Wang
Lloyd Rutledge
Peter Gorgels

2. Bridging the Gap:
Virtual and Physical Museum Experience

3. Setting and Research Questions
□ Can we use semantic
metadata of cultural
heritage to improve
personalized access
through multiple
devices (e.g. PC,
mobile phone, PDA)?
□ Rijksmuseum Amsterdam
□ http://www.chip-project.org

6. Approach
□ Making museum metadata available in RDF/OWL
□ Making relevant vocabularies available in
RDF/OWL
□ Aligning & enriching vocabularies/metadata
□ Using resulting RDF/OWL graph for building a
combined (virtual and physical) user model
□ Using the above result for (semi)automatic
generation of virtual and physical museum tours

7. Converting Museum Metadata
in RDF/OWL
□ Rijksmuseum data:
■ Metadata format is Dublin-Core specialization
■ ARIA database (Website-targeted)
□ 729 artworks
□ 47,329 triples
■ Adlib database (Curator-targeted)
□ 16,156 artworks
□ 400,405 triples
■ Provided by http://e-culture.multimedian.nl

8. Converting Vocabularies in RDF/OWL
□ Rijksmuseum vocabularies
■ RM Dictionary (#486)
■ RM Encyclopaedia (#690)
■ RM Catalogue (#43)
□ External Vocabularies
■ provided by e-culture project
□ TGN (#425,517)
□ ULAN (#1,896,936)
□ AAT (#1,249,162)
■ IconClass (# 24349) provided by STITCH project

9. Aligning Vocabularies
□ Manual alignment of internal ARIA Rijksmuseum
vocabularies to external (Getty and IconClass):
■ 2825 mappings to 283 different AAT concepts
■ 485 mappings to 263 different ULAN concepts
■ 507 mappings to 69 different TGN concepts
■ 503 mappings to 178 different IconClass concepts
□ Manual alignment of internal AdLib Rijksmuseum
vocabularies to external (Getty):
■ 534 different AAT concepts
■ 3846 different ULAN concepts

10. Enriching Vocabularies
□ Adding AAT Style metadata to the
Rijksmuseum collection
□ Mapping AAT Style metadata to artists in
Rijksmuseum collection
□ Splitting Rijksmuseum “Location/Period”
metadata and mapping them to AAT
Period and TGN Locations

11. RDF/OWL Graph for Building
User Model
□ Asking users to rate any Rijksmuseum
artwork:
■ first 20 pre-selected by museum curators
■ rest random
■ possibility to refine rating to semantic properties of
artworks
□ Ex.:
■ I like “Jewish Bride”
■ I like creator “Rembrandt”
■ I like style “Baroque”

12. Using RDF/OWL User Model for
Generation of Museum Tours
□ Generation of Tour “Masterpieces”:
■ select the artworks of:
□ positively rated creators
□ related artists, i.e. collaborator and
student_of
□ same style and style siblings
■ conflict resolution if related masterpieces
are explicitly not liked

13. style: Baroque
teacher of: Gerrit Dou
teacher of: Nicolaes Maesteacher of: Ferdinand Bol
self-portrait
militia
place:
Amsterdam
period:
1625 to 1650

14. CHIP Architecture

15. PDA-based Tour

16. Issues
□ Recommendations with respect to subject/theme
annotations
□ Taking into account temporal preferences in
recommendations, e.g. “I am not interested NOW”
□ Adapting the artwork sequence in user profiler
□ Adapting the tour sequence on the fly
□ Social aspects based on FOAF profile
□ Studies:
■ two user studies for artwork rating recommender have
been performed
■ one overview of interactive tour functionality in NL
■ planned user studies of tour generation

17. Links
□ www.chip-project.org
■ CHIP demonstration tutorial
■ PDA tour presentation
■ www.chip-project.org/demo