Using viewing time for theme prediction in cultural heritage spaces

Fabian Bohnert, Ingrid Zukerman

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Original languageEnglish
    Title of host publicationProceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)
    EditorsMehmet A Orgun, John Thornton
    Place of PublicationBerlin Germany
    PublisherSpringer-Verlag London Ltd.
    Pages367 - 376
    Number of pages10
    Volume4830
    ISBN (Print)0302-9743
    Publication statusPublished - 2007
    EventAustralian Joint Conference on Artificial Intelligence - Gold Coast Qld Australia, Berlin Germany
    Duration: 1 Jan 2007 → …

    Conference

    ConferenceAustralian Joint Conference on Artificial Intelligence
    CityBerlin Germany
    Period1/01/07 → …

    Cite this

    Bohnert, F., & Zukerman, I. (2007). Using viewing time for theme prediction in cultural heritage spaces. In M. A. Orgun, & J. Thornton (Eds.), Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007) (Vol. 4830, pp. 367 - 376). Berlin Germany: Springer-Verlag London Ltd..
    Bohnert, Fabian ; Zukerman, Ingrid. / Using viewing time for theme prediction in cultural heritage spaces. Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). editor / Mehmet A Orgun ; John Thornton. Vol. 4830 Berlin Germany : Springer-Verlag London Ltd., 2007. pp. 367 - 376
    @inproceedings{455c16c489994396bb553d2df6f2e556,
    title = "Using viewing time for theme prediction in cultural heritage spaces",
    author = "Fabian Bohnert and Ingrid Zukerman",
    year = "2007",
    language = "English",
    isbn = "0302-9743",
    volume = "4830",
    pages = "367 -- 376",
    editor = "Orgun, {Mehmet A} and John Thornton",
    booktitle = "Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)",
    publisher = "Springer-Verlag London Ltd.",
    address = "Germany",

    }

    Bohnert, F & Zukerman, I 2007, Using viewing time for theme prediction in cultural heritage spaces. in MA Orgun & J Thornton (eds), Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). vol. 4830, Springer-Verlag London Ltd., Berlin Germany, pp. 367 - 376, Australian Joint Conference on Artificial Intelligence, Berlin Germany, 1/01/07.

    Using viewing time for theme prediction in cultural heritage spaces. / Bohnert, Fabian; Zukerman, Ingrid.

    Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). ed. / Mehmet A Orgun; John Thornton. Vol. 4830 Berlin Germany : Springer-Verlag London Ltd., 2007. p. 367 - 376.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    TY - GEN

    T1 - Using viewing time for theme prediction in cultural heritage spaces

    AU - Bohnert, Fabian

    AU - Zukerman, Ingrid

    PY - 2007

    Y1 - 2007

    UR - http://www.springerlink.com/content/qx26n711527k6502/fulltext.pdf

    M3 - Conference Paper

    SN - 0302-9743

    VL - 4830

    SP - 367

    EP - 376

    BT - Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)

    A2 - Orgun, Mehmet A

    A2 - Thornton, John

    PB - Springer-Verlag London Ltd.

    CY - Berlin Germany

    ER -

    Bohnert F, Zukerman I. Using viewing time for theme prediction in cultural heritage spaces. In Orgun MA, Thornton J, editors, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). Vol. 4830. Berlin Germany: Springer-Verlag London Ltd. 2007. p. 367 - 376