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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2016
    In:  KI - Künstliche Intelligenz Vol. 30, No. 2 ( 2016-6), p. 189-192
    In: KI - Künstliche Intelligenz, Springer Science and Business Media LLC, Vol. 30, No. 2 ( 2016-6), p. 189-192
    Type of Medium: Online Resource
    ISSN: 0933-1875 , 1610-1987
    RVK:
    RVK:
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2537719-X
    detail.hit.zdb_id: 246723-9
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  • 2
    Online Resource
    Online Resource
    World Scientific Pub Co Pte Ltd ; 2012
    In:  International Journal of Semantic Computing Vol. 06, No. 03 ( 2012-09), p. 263-288
    In: International Journal of Semantic Computing, World Scientific Pub Co Pte Ltd, Vol. 06, No. 03 ( 2012-09), p. 263-288
    Abstract: Today's metadata models and metadata standards often focus on a specific media type only, lack combinability with other metadata models, or are limited with respect to the features they support. Thus they are not sufficient to describe the semantics of rich, structured multimedia documents. To overcome these limitations, we have developed a comprehensive model for representing multimedia metadata, the Multimedia Metadata Ontology (M3O). The M3O has been developed by an extensive analysis of related work and abstracts from the features of existing metadata models and metadata standards. It is based on the foundational ontology DOLCE+DnS Ultralight and makes use of ontology design patterns. The M3O serves as generic modeling framework for integrating the existing metadata models and metadata standards rather than replacing them. As such, the M3O can be used internally as semantic data model within complex multimedia applications such as authoring tools or multimedia management systems. To make use of the M3O in concrete multimedia applications, a generic application programming interface (API) has been implemented based on a sophisticated persistence layer that provides explicit support for ontology design patterns. To demonstrate applicability of the M3O API, we have integrated and applied it with our SemanticMM4U framework for the multi-channel generation of semantically annotated multimedia documents.
    Type of Medium: Online Resource
    ISSN: 1793-351X , 1793-7108
    Language: English
    Publisher: World Scientific Pub Co Pte Ltd
    Publication Date: 2012
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