Towards a Unified Knowledge-Based Approach to Modality Choice

Y.S. Bachvarova, Elisabeth M.A.G. van Dijk, Antinus Nijholt

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    This paper advances a unified knowledge-based approach to the process of choosing the most appropriate modality or combination of modalities in multimodal output generation. We propose a Modality Ontology (MO) that models the knowledge needed to support the two most fundamental processes determining modality choice – modality allocation (choosing the modality or set of modalities that can best support a particular type of information) and modality combination (selecting an optimal final combination of modalities). In the proposed ontology we model the main levels which collectively determine the characteristics of each modality and the specific relationships between different modalities that are important for multi-modal meaning making. This ontology aims to support the automatic selection of modalities and combinations of modalities that are suitable to convey the meaning of the intended message.
    Original languageEnglish
    Title of host publicationMOG 2007
    Subtitle of host publicationWorkshop on Multimodal Output Generation: CTIT Proceedings
    EditorsIelka van der Sluis, Mariët Theune, Ehud Reiter, Emiel Krahmer
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Number of pages11
    Publication statusPublished - 20 Jan 2007
    EventWorkshop on Multimodal Output Generation, MOG 2007 - University of Aberdeen, Aberdeen, Scotland, United Kingdom
    Duration: 25 Jan 200726 Jan 2007

    Publication series

    NameCTIT Workshop Proceedings Series
    PublisherCentre for Telematics and Information Technology University of Twente
    ISSN (Print)1574-0846
    ISSN (Electronic)0929-0672


    WorkshopWorkshop on Multimodal Output Generation, MOG 2007
    Abbreviated titleMOG
    Country/TerritoryUnited Kingdom
    CityAberdeen, Scotland


    • Modality ontology
    • Modality combination
    • Modality allocation
    • Modality choice
    • HMI-SLT: Speech and Language Technology


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