Abstract: Methods and systems for facilitating distribution of content are disclosed. In one example embodiment, a method of facilitating demand-driven population and management of online content within a video-on-demand (VOD) service includes receiving trend information and a link reference at one or more input ports, the reference being at least indirectly indicative of a location at which the content is available, and obtaining and normalizing, by way of one or more processing devices, metadata pertaining to the content. The method further includes determining business rule information pertaining to the content based at least indirectly upon the trend information, content provider policy information, and the normalized metadata, via the processing device(s), and outputting via one or more output ports the business rule information for receipt by the VOD service, whereby availability and prioritization of the content at the VOD service is based at least in part upon the output business rule information.

Abstract: Methods and systems for facilitating distribution of content are disclosed. In one example embodiment, a method of facilitating demand-driven population and management of online content within a video-on-demand (VOD) service includes receiving trend information and a link reference at one or more input ports, the reference being at least indirectly indicative of a location at which the content is available, and obtaining and normalizing, by way of one or more processing devices, metadata pertaining to the content. The method further includes determining business rule information pertaining to the content based at least indirectly upon the trend information, content provider policy information, and the normalized metadata, via the processing device(s), and outputting via one or more output ports the business rule information for receipt by the VOD service, whereby availability and prioritization of the content at the VOD service is based at least in part upon the output business rule information.

Abstract: Methods and systems for facilitating distribution of content are disclosed. In one example embodiment, a method of facilitating demand-driven population and management of online content within a video-on-demand (VOD) service includes receiving trend information and a link reference at one or more input ports, the reference being at least indirectly indicative of a location at which the content is available, and obtaining and normalizing, by way of one or more processing devices, metadata pertaining to the content. The method further includes determining business rule information pertaining to the content based at least indirectly upon the trend information, content provider policy information, and the normalized metadata, via the processing device(s), and outputting via one or more output ports the business rule information for receipt by the VOD service, whereby availability and prioritization of the content at the VOD service is based at least in part upon the output business rule information.

Abstract: Methods and systems for facilitating distribution of content are disclosed. In one example embodiment, a method of facilitating demand-driven population and management of online content within a video-on-demand (VOD) service includes receiving trend information and a link reference at one or more input ports, the reference being at least indirectly indicative of a location at which the content is available, and obtaining and normalizing, by way of one or more processing devices, metadata pertaining to the content. The method further includes determining business rule information pertaining to the content based at least indirectly upon the trend information, content provider policy information, and the normalized metadata, via the processing device(s), and outputting via one or more output ports the business rule information for receipt by the VOD service, whereby availability and prioritization of the content at the VOD service is based at least in part upon the output business rule information.

Abstract: A method, a system and a computer program product for interpreting a verbal input in a multimodal dialog system are provided. The method includes assigning (302) a confidence value to at least one word generated by a verbal recognition component. The method further includes generating (304) a semantic unit confidence score for the verbal input. The generation of a semantic unit confidence score is based on the confidence value of at least one word and at least one semantic confidence operator.

Abstract: An electronic device (700) captures an image (105, 725) that includes textual information having captured words that are organized in a captured arrangement. The electronic device performs optical character recognition (OCR) (110, 730) in a portion of the image to form a collection of recognized words that are organized in the captured arrangement. The electronic device selects a most likely domain (115, 735) from a plurality of domains, each domain having an associated set of domain arrangements, each domain arrangement comprising a set of feature structures and relationship rules. The electronic device forms a structured collection of feature structures (120, 740) from the set of domain arrangements that substantially matches the captured arrangement. The electronic device organizes the collection of recognized words (125, 745) according to the structured collection of feature structures into structured domain information.

Abstract: A method and apparatus for generating a translation table (105) is provided herein. The translation table is automatically generated by firstly accessing a domain model (301) and an SCL specification (303). With access to both domain model and the SCL specification, a translation table is then created that associates elements of domain model to functions and arguments of the SCL specification. Because the translation table is created automatically based on the domain model and the SCL specification, a translation table can be quickly and easily created, with less errors than with prior-art techniques.