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A Natural Language Model and a System for Managing TV-Anytime Information from Mobile Devices

机译:一种自然语言模型和用于从移动设备管理电视的系统

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The TV-Anytime standard describes structures of categories of digital TV program metadata, as well as User Profile metadata for TV programs. In this case study we describe a natural language model and a system for the users to interact with the metadata and preview TV programs stored in remote databases, from their mobile devices contrary to their limited configurations. By the use of the TV-Anytime metadata specifications the system limits greatly the possibility for ambiguities. The interaction model deals with ambiguities by using the TV-Anytime user profiles and metadata information concerning digital TV to rank the possible answers. The interaction between the user and the system is done by the use of a PDA and a mobile phone with metadata information stored on a database on a remote TV-Anytime compatible TV set.
机译:电视 - 随时标准描述了数字电视节目元数据类别的结构,以及电视节目的用户配置文件元数据。在这种情况下,我们描述了一种自然语言模型和用于用户与元数据交互和预览存储在远程数据库中的电视节目的系统,他们的移动设备与其有限的配置相反。通过使用TV-Anytime元数据规范,系统极大地限制了含糊不清的可能性。互动模型通过使用有关数字电视的电视 - 随时用户配置文件和元数据信息来对歧义进行歧义来对可能的答案进行排名。用户和系统之间的交互是通过使用PDA和移动电话来完成的,其中包括存储在远程电视的数据库上的元数据信息。

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