A Natural Language Model and a System for Managing TV-Anytime Information from Mobile Devices
نویسندگان
چکیده
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.
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تاریخ انتشار 2004