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MultimediaN Application Pilot E-Culture

MultimediaN Application Pilot E-Culture. Presentation and Demonstration. Outline. Introduction: The Project Goals/ Example Use Cases Semantic Web and RDF The Application Current/Future Work Demo Walkthrough Interactive Questions. The E-Culture Project. Dutch BSIK project MultimediaN

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MultimediaN Application Pilot E-Culture

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

  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 vra: title • Semantic Web standard for modelling of knowledge • Triples (Subject, Predicate, Object) • Namespaces (Who says what) • (Mus1:Painting001, vra:title, “the Scream”) • RDFS adds classes, instances etc. • OWL adds logic Mus1: Painting001 “The Scream”

  8. Labeled Graph AAT: Art Nouveau Mus1: Painting001 glink: has_style vra: title “The Scream” vra: creator Ulan:Munch, Edvard Ulan:student of Ulan:Thaulow, Fritz  Ulan:died_in TGN:Norway TGN:Oslo 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. ->Todo

  10. Annotation Party

  11. Architecture of the Demonstrator • Open Web standards • XML, XHTML, SVG, RDF/OWL • SWI-Prolog’s 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-> 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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