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Ontology-based multimedia contents retrieval framework in smart TV environment

机译:智能电视环境中基于本体的多媒体内容检索框架

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Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge represented logically (i.e., knowledge base). But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. Such requirements are conspicuous especially in smart media such as smart phone, IPTV and smart TV. In this paper, we describe a framework for the semantic retrieval of multimedia contents. Our framework is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies. Our framework also integrates such components as for knowledge base augmentation by user preference and context. We also present our prototype system we have been developing to test our framework ideas.
机译:通过使用逻辑表示的知识(即知识库),语义搜索有望提供比当今基于关键字匹配的搜索更准确的结果。但是,普通用户不太了解知识库的复杂形式查询语言和架构。因此,系统应解释用户关键字的含义。这些要求尤其是在诸如智能电话,IPTV和智能电视之类的智能媒体中尤为明显。在本文中,我们描述了多媒体内容语义检索的框架。我们的框架是本体论知识库驱动的,在这个意义上,解释过程被集成到围绕领域本体建立的知识库的统一结构中。我们的框架还集成了诸如通过用户喜好和上下文扩展知识库等组件。我们还将介绍我们正在开发的原型系统,以测试我们的框架思想。

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