Formal Representation and Query for Digital Contents Data
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초록
Digital contents services are one of the topics that have been intensively studied in the media industry, wherevarious semantic and ontology techniques are applied. However, query execution for ontology data is stillinefficient, lack of sufficient extensible definitions for node relationships, and there is no specific semanticmethod fit for media data representation. In order to make the machine understand digital contents (DCs) datawell, we analyze DCs data, including static data and dynamic data, and use ontology to specify and classifyobjects and the events of the particular objects. Then the formal representation method is proposed which notonly redefines DCs data based on the technology of OWL/RDF, but is also combined with media segmentationmethods. At the same time, to speed up the access mechanism of DCs data stored under the persistent database,an ontologybased DCs query solution is proposed, which uses the specified distance vector associated to asurveillance of semantic label (annotation) to detect and track a moving or static object.
Abstract
Digital contents services are one of the topics that have been intensively studied in the media industry, wherevarious semantic and ontology techniques are applied. However, query execution for ontology data is stillinefficient, lack of sufficient extensible definitions for node relationships, and there is no specific semanticmethod fit for media data representation. In order to make the machine understand digital contents (DCs) datawell, we analyze DCs data, including static data and dynamic data, and use ontology to specify and classifyobjects and the events of the particular objects. Then the formal representation method is proposed which notonly redefines DCs data based on the technology of OWL/RDF, but is also combined with media segmentationmethods. At the same time, to speed up the access mechanism of DCs data stored under the persistent database,an ontologybased DCs query solution is proposed, which uses the specified distance vector associated to asurveillance of semantic label (annotation) to detect and track a moving or static object.
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