摘要
利用本体标注解决语义鸿沟问题是目前相关领域的研究热点,国内外众多学者针对视频语义的不一致性、不确定性和难交互性等缺陷,构建了多种语义视频本体。其中,VDO、LSCOM及COMM是较为典型的三种语义视频本体。从需求特性、构建原理等方面依次对这三种典型本体进行了详细分析介绍,最后总结了三者各自的功能特点和不足,展望了语义视频本体的发展趋势。
Using ontology annotation to solve the problem caused by semantic gap is a hot research field currently. To solve the defects of video semantic such as inconsistency, uncertainty and interaction difficulty, scholars at home and abroad have built a variety of semantic video ontology, VDO, LSCOM and COMM are the three typical ones, they are analyzed in terms of demand characteristics and the construction principles in detail by the authors,and their features and shortcomings of them are summarized. At last, the development trend of semantic video ontology is discussed.
出处
《情报杂志》
CSSCI
北大核心
2013年第6期121-126,共6页
Journal of Intelligence
基金
教育部人文社科规划基金项目"面向Web3.0的大众分类研究"(编号:10YJA870026)
国家社会科学基金项目"大众分类中标签间语义关系挖掘研究"(编号:12BTQ038)的研究成果之一