Abstract: Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.

Abstract: Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.

Abstract: Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.

Abstract: Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.

Abstract: Systems and methods are provided for translating a phrase block and presenting meanings and translations of the phrase block. Consistent with certain embodiments, computer-implemented systems and methods are provided for identifying parts of speech of the phrase block, determining definitions of the phrase block in the source language corresponding to the parts of speech, and determining usage examples corresponding to the definitions. Additionally, systems and methods are provided for translating the phrase block from the source language to translated text and for ranking the parts of speech based on usage. Consistent with certain embodiments, computer-implemented systems and methods are also provided for determining usage based on a user's location, based on a corpus of documents, and/or based on content stored by the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for semantic document analysis. In one aspect, methods include the actions of segmenting a document into segments; generating semantic representations, each corresponding to one of the segments; determining a corresponding segment score for one or more of the segments based on the corresponding semantic representation, such that each segment score represents a change in the corresponding segment; comparing each segment score to a threshold score, such that the threshold score represents an expectation of change for the document; and identifying segments having segment scores that indicate the change in the corresponding segment deviates from the expectation of change for the document based on the comparison.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scheduling resource crawls. In one aspect, a framework is provided for scheduling resource crawls such that a crawl scheduler determines the health of a document, i.e., whether it can be crawled, the popularity of the document, and the frequency of “interesting,” i.e., substantive, content changes, and based on this information, estimates an appropriate crawl interval for each web resource to improve crawl resource utilization.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scheduling resource crawls. In one aspect, a framework is provided for scheduling resource crawls such that a crawl scheduler determines the health of a document, i.e., whether it can be crawled, the popularity of the document, and the frequency of “interesting,” i.e., substantive, content changes, and based on this information, estimates an appropriate crawl interval for each web resource to improve crawl resource utilization.

Abstract: Digitally distributing media content using a distribution backbone system, including: receiving a request for media content from a client, the request including a client profile; performing inventory and analysis of source assets by iteratively progressing through the client profile to create output; performing a capability mapping in which a series of rules that allow the source assets to be mapped to the client profile; and planning a manufacturing process, which determines work items and execution steps from capabilities mapped in response to the request for media content from the client.