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A New Method of Utilizing Video Content Structured on the Basis of the RDF: Combining Broadcasting Content with External Services Using RDF Triples

机译:一种利用基于RDF结构的视频内容的新方法:使用RDF三元组合使用外部服务的广播内容

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The purpose of this study is to examine how to combine broadcasting video clips with other contents offered by a third party. To this end, this paper focused on the field of education, particularly the study of "animals," and verified methods of collaboration between videos and other contents such as Wikipedia. When it comes to considering collaboration, it is well-known that metadata are absolutely necessary, however what kinds of metadata will be required? This depends on their usage or methods of combining certain resources, such as videos with other texts. In order to solve this, this paper constructed an RDF (Resource Description Framework) store to describe video clips from various viewpoints which cover themes to explain animals, motions about animals and so on. Accordingly, this paper extracted metadata commonly used to describe animals from Wikipedia and defined it as Concept Tag for the ontology to explain animals. We also analyzed which Concept Tag should be tagged in each video based on the degree of association with metadata from the ontology. In addition, we extracted RDF triples regarding the animals, which are linked to their DBpedia entries. By using this RDF store, we developed three demonstration applications that combine videos with other services.
机译:本研究的目的是检查如何将广播视频剪辑与第三方提供的其他内容组合。为此,本文重点关注教育领域,特别是对“动物”的研究和视频和其他内容之间的验证方法,如维基百科。何时考虑合作,众所周知,元数据绝对必要,但是需要哪些类型的元数据?这取决于它们的用法或方法,可以组合某些资源,例如与其他文本的视频。为了解决这一点,本文构建了一个RDF(资源描述框架)商店,以描述来自各种视点的视频剪辑,覆盖主题以解释动物,关于动物的运动等。因此,本文提取了常用于描述维基百科动物的元数据,并将其定义为本体的概念标签以解释动物。我们还分析了基于来自本体从本体的元数据的关联程度在每个视频中标记哪个概念标记。此外,我们提取了关于动物的RDF三,与其DBPedia条目相关联。通过使用此RDF商店,我们开发了三种演示应用程序,将视频与其他服务结合起来。

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