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Presenting Knowledge on the Semantic Web

Presenting Knowledge on the Semantic Web. Lynda Hardman Semantic Media Interfaces http://media.cwi.nl. Long-term goal. Develop knowledge-intensive models and document processing technologies that are able to: generate coherent multimedia presentations tailored to an individual user

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Presenting Knowledge on the Semantic Web

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  1. Presenting Knowledgeon the Semantic Web Lynda Hardman Semantic Media Interfaces http://media.cwi.nl

  2. Long-term goal • Develop knowledge-intensive models and document processing technologies that are able to: generate coherent multimedia presentations tailored to an individual user taking into account their preferences, abilities, device capabilities and environment.

  3. Goals of research • Understand how to • incorporate design and discourse knowledge into multimedia presentations • represent this knowledge in Web and Semantic Web technologies • Semantic Web provides • source content for inclusion in presentations • a means of expressing knowledge needed

  4. Vox Populi Noadster Topia, DISC Cuypers From syntax to semantics Semantics AmsterdamHypermedia Model Syntax Time

  5. Vox Populi Noadster Topia, DISC Cuypers From syntax to semantics Semantics AmsterdamHypermedia Model Syntax Time

  6. Space/time trade-offs

  7. Space/time trade-offs • Media repository from Rijksmuseum • Quantitative constraints insufficientusing pixel-based positioning • Qualitative constraints also usedspecification of constraints at higher levelA not-overlap B, B after C • If insoluble then backtrack to other solutions using Prolog • Joost GeurtsMMM 2001, WWW 2001

  8. Vox Populi Noadster Topia, DISC Cuypers From syntax to semantics Semantics AmsterdamHypermedia Model Syntax Time

  9. Inferring document structure

  10. Rijksmuseum domain model Theme Art includes Place and Time interval subClassOf Artist Artefact • First name • Surname • Other name • Synonym • Year of birth • Year of death includes • Title • Short title • Material • Style period • Creation year • Picture creator description description Presentation • ID • Type • Text part of points to Topia project Presentation part Keyword • Sequence no. • Title • Description • ID • Type • Keyword text contained in

  11. Inferring document structure • Topia • Rijksmuseum ARIA database -> RDF • Clustering on results of query • Presentation showing “table of contents” and current focus • Lloyd RutledgeACM Hypertext 2003

  12. Semantic graph to presentation

  13. Semantic graph to presentation • DISC • Rijksmuseum repository of media items • Semantic graph is not enoughRembrandt married-to Saskiaalso need discourse structuresfor deriving grouping, ordering and priorities • Biography template createdpainter is-a profession • Stefano Bocconi, Joost GeurtsISWC 2003

  14. Vox Populi Noadster Topia, DISC Cuypers From syntax to semantics Semantics AmsterdamHypermedia Model Syntax Time

  15. Semantic Web browsing • Noadster • Generalised semantic web browsing • Integrating global and local browsing • Lloyd Rutledge,WWW 2005

  16. Vox Populi Noadster Topia, DISC Cuypers From syntax to semantics Semantics AmsterdamHypermedia Model Syntax Time

  17. Noadster Topia, DISC Cuypers From syntax to semantics Semantics Eculture AmsterdamHypermedia Model Syntax Time

  18. MultimediaN Eculture • Collection of vocabularies in RDF: • AAT, ULAN, TGN • Artchive images • Interface for searching and browsing http://eculture.multimedian.nl • Partners: • Guus Schreiber, VU; Bob Wielinga & Jan Wielemaker, UvA

  19. Eculture advanced search

  20. Eculture search result

  21. Eculture single artefact

  22. Scientific challenges • Making (multimedia) discourse and design knowledge explicit • Expressing re-usable semantics of media assets • Designing architectures for multimedia presentation generation

  23. Conclusions & Future Work • From projects described we have learned much: • distinguish stages in process • make discourse knowledge explicit • mappings between domain and discourse knowledge • Explicit user model being worked on: • CHIP user interaction, partner RijksmuseumPassepartout media installation, partner V2_ • Investigating use of timeline: • to display artefacts to a user, MultimediaN Eculture • Semantic Web Best Practices and Deployment Group, Multimedia Task Force • http://www.w3.org/2001/sw/BestPractices/MM/ • SWUIG Semantic Web User Interface Group

  24. This research is supported by • NWO I2RPIntelligent Information Retrieval and Presentation • NWO NASHNetworked Adaptive Structured Hypermedia • Telematica Instituut Topia • ICES KIS MultimediaN Eculture • Images courtesy of Rijksmuseum, Amsterdam • Acknowledgements: • Jacco van Ossenbruggen, Frank Nack,Stefano Bocconi, Joost Geurts, Lloyd Rutledge,Alia Amin, Michiel Hildebrand, Zhisheng Huang

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