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MultimediaN Application Pilot E-Culture

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Improve 'in context' search and presentation of search results ... Oil, tempera and pastel on cardboard. 91 x 73.5 cm. National Gallery, Oslo. Goals. Currently: ... – PowerPoint PPT presentation

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Title: MultimediaN Application Pilot E-Culture


1
MultimediaN Application Pilot E-Culture
  • Presentation and Demonstration

2
Outline
  • Introduction The Project
  • Goals/ Example Use Cases
  • Semantic Web and RDF
  • The Application
  • Current/Future Work
  • Demo
  • Walkthrough
  • Interactive
  • Questions

3
The E-Culture Project
  • Dutch BSIK project MultimediaN
  • MN-N9C Application Pilot e-Culture
  • VU (Guus Schreiber et.al.)
  • CWI (Jacco van Ossenbruggen et.al.)
  • UvA (Bob Wielinga, Jan Wielemaker, Victor de
    Boer)
  • ICN, DEN
  • Goals
  • Golden Application for Semantic Web
  • Improve "in context" search and presentation of
    search results by linking multiple Cultural
    Heritage collections
  • Reusing existing background knowledge (rich
    domain!)
  • Real users, real needs
  • For now CH Professionals

4
Example Use Case
  • Find Paintings from Monet
  • Find Paintings from other painters with the same
    style as Monet

Monet
5
Example Use Case
  • How can we find this painting?
  • Are they related in some way?
  • Metadata associated with the resource
  • MUNCH, Edvard
  • The Scream
  • 1893
  • Oil, tempera and pastel on cardboard
  • 91 x 73.5 cm
  • National Gallery, Oslo

6
Goals
  • Currently
  • Resources and Metadata is stored locally at the
    museums
  • Little use of background knowledge
  • Semi-standard format
  • Our goal
  • Distributed collections, accessible through Web
  • (Re)Use distributed background knowledge for
    search and linking of resources
  • Taxonomies, Ontologies, Structured Vocabularies
  • Time/Space Reasoning
  • Use (Semantic Web) Standards
  • RDF(S)/OWL, XML, XHTML, SPARQL
  • Multilinguality

7
RDF(S)/OWL
  • Semantic Web standard for modelling of knowledge
  • Triples (Subject, Predicate, Object)
  • Namespaces (Who says what)
  • (Mus1Painting001, vratitle, the Scream)
  • RDFS adds classes, instances etc.
  • OWL adds logic

vra title
Mus1 Painting001
The Scream
8
Labeled Graph
AAT Art Nouveau
Mus1 Painting001
glink has_style
vra title
The Scream
vra creator
UlanMunch, Edvard
Ulanstudent of
UlanThaulow, Fritz 
Ulandied_in
TGNNorway
TGNOslo
TGN partof
9
The (Meta)data
  • Currently
  • Collections Rijksmuseum A'dam (750),
    Artchive.com (3000), Rijksmuseum Volkenkunde
    (250.000),...
  • Thesauri Getty AAT, TGN, ULAN SVCN, WordNet,
    ...
  • 10M triples
  • Conversion
  • Thesauri to RDF
  • Metadata to Thesaurus-concepts
  • Manual and Automatic Enrichment of the
    annotations, more links. -gtTodo

10
Annotation Party
11
Architecture of the Demonstrator
  • Open Web standards
  • XML, XHTML, SVG, RDF/OWL
  • SWI-Prologs semantic web package
  • SPARQL interface, RDF/OWL partial reasoning
  • AJAX for rich Web client interaction
  • Semantic keyword suggestio
  • Dynamic tree browser for structured taxonomies
  • Java applets for other interaction types
  • Picture point annotating image content

12
User Interface
  • One backbone, multiple ways of presentation. User
    Interfaces
  • Basic Search, Advanced Search, Timeline, Facet
    Browser
  • Convey relevant information hidden in graph
    effectively to the user
  • Exploit semantics to improve presentation
  • time space
  • User evaluation of the tool is an important part
    of the project-gt Todo

13
Semantic Web Challenge 2006
  • Competition for Semantic Web End-user
    applications
  • ISWC 2006
  • First Prize!

TBL and Guus
14
Current/Future Work
  • User Evaluation
  • More links, more metadata
  • Multilinguality
  • More collections
  • KIT
  • Scalability
  • Relation Search

15
Demo Time
  • e-culture.multimedian.nl
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