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    • 1. 发明授权
    • Content object indexing using domain knowledge
    • 使用领域知识的内容对象索引
    • US07698294B2
    • 2010-04-13
    • US11275509
    • 2006-01-11
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • G06F17/30
    • G06F17/30613
    • A content object indexing process including creating a content object knowledge index, calculating a description vector of a target content object, and indexing the target content object by searching for the description vector in the content object knowledge database. It may be difficult to search for an exact content object such as a music file or academic researcher as a conventional search index may not include related hierarchical information. A content object indexing process may add hierarchical information taken from a content object knowledge index and incorporate the hierarchical information to the index entry for a specific content object. An application of such a content object indexing process may be a world wide web search engine.
    • 内容对象索引处理包括创建内容对象知识索引,计算目标内容对象的描述向量,并通过搜索内容对象知识库中的描述向量来索引目标内容对象。 可能难以搜索诸如音乐文件或学术研究者的确切内容对象,因为传统的搜索索引可能不包括相关的分层信息。 内容对象索引处理可以添加从内容对象知识索引获取的分层信息,并且将分层信息并入特定内容对象的索引条目。 这样的内容对象索引处理的应用可以是万维网搜索引擎。
    • 2. 发明申请
    • Content Object Indexing Using Domain Knowledge
    • 使用域知识的内容对象索引
    • US20070162408A1
    • 2007-07-12
    • US11275509
    • 2006-01-11
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • Wei-Ying MaLie LuJi-Rong WenZhiwei LiZaiqing NieHsiao-Wuen Hon
    • G06N5/02
    • G06F17/30613
    • A content object indexing process including creating a content object knowledge index, calculating a description vector of a target content object, and indexing the target content object by searching for the description vector in the content object knowledge database. It may be difficult to search for an exact content object such as a music file or academic researcher as a conventional search index may not include related hierarchical information. A content object indexing process may add hierarchical information taken from a content object knowledge index and incorporate the hierarchical information to the index entry for a specific content object. An application of such a content object indexing process may be a world wide web search engine.
    • 内容对象索引处理包括创建内容对象知识索引,计算目标内容对象的描述向量,并通过搜索内容对象知识库中的描述向量来索引目标内容对象。 可能难以搜索诸如音乐文件或学术研究者的确切内容对象,因为传统的搜索索引可能不包括相关的分层信息。 内容对象索引处理可以添加从内容对象知识索引获取的分层信息,并且将分层信息并入特定内容对象的索引条目。 这样的内容对象索引处理的应用可以是万维网搜索引擎。
    • 8. 发明申请
    • Automated rich presentation of a semantic topic
    • 自动丰富的语义主题演示
    • US20070094251A1
    • 2007-04-26
    • US11256411
    • 2005-10-21
    • Lie LuWei-Ying MaZhiwei Li
    • Lie LuWei-Ying MaZhiwei Li
    • G06F17/30
    • G06F17/30705G06F17/30056
    • Automated rich presentation of a semantic topic is described. In one aspect, respective portions of multimodal information corresponding to a semantic topic are evaluated to locate events associated with the semantic topic. The probability that a document belongs to an event is determined based on document inclusion of one or more of persons, times, locations, and keywords, and document distribution along a timeline associated with the event. For each event, one or more documents objectively determined to be substantially representative of the event are identified. One or more other types of media (e.g., video, images, etc.) related to the event are then extracted from the multimodal information. The representative documents and the other media are for presentation to a user in a storyboard.
    • 描述了语义主题的自动丰富呈现。 在一个方面,评估与语义主题相对应的多模态信息的相应部分,以定位与语义主题相关联的事件。 基于文档包含一个或多个人,时间,位置和关键字以及与事件相关联的时间轴的文档分发来确定文档属于事件的概率。 对于每个事件,识别客观地确定为基本上代表事件的一个或多个文档。 然后从多模态信息中提取与事件相关的一个或多个其他类型的媒体(例如,视频,图像等)。 代表性文件和其他媒体用于向故事板中的用户呈现。
    • 9. 发明授权
    • Automated rich presentation of a semantic topic
    • 自动丰富的语义主题演示
    • US08572088B2
    • 2013-10-29
    • US11256411
    • 2005-10-21
    • Lie LuWei-Ying MaZhiwei Li
    • Lie LuWei-Ying MaZhiwei Li
    • G06F7/00G06F17/30
    • G06F17/30705G06F17/30056
    • Automated rich presentation of a semantic topic is described. In one aspect, respective portions of multimodal information corresponding to a semantic topic are evaluated to locate events associated with the semantic topic. The probability that a document belongs to an event is determined based on document inclusion of one or more of persons, times, locations, and keywords, and document distribution along a timeline associated with the event. For each event, one or more documents objectively determined to be substantially representative of the event are identified. One or more other types of media (e.g., video, images, etc.) related to the event are then extracted from the multimodal information. The representative documents and the other media are for presentation to a user in a storyboard.
    • 描述了语义主题的自动丰富呈现。 在一个方面,评估与语义主题相对应的多模态信息的相应部分,以定位与语义主题相关联的事件。 基于文档包含一个或多个人,时间,位置和关键字以及与事件相关联的时间轴的文档分发来确定文档属于事件的概率。 对于每个事件,识别客观地确定为基本上代表事件的一个或多个文档。 然后从多模态信息中提取与事件相关的一个或多个其他类型的媒体(例如,视频,图像等)。 代表性文件和其他媒体用于向故事板中的用户呈现。