Abstract: Computer-implemented techniques for constructing structured database query language statements from natural language questions are disclosed. In some embodiments, a knowledge graph-based approach is employed to construct a structured database query language statement such as, for example, a Structure Query Language (SQL) statement, from a natural language question. The approach encompasses a domain knowledge graph model and a database schema wiring model. The domain knowledge graph model represents domain-specific knowledge about the underlying database data in the form of a graph having nodes and directed edges between the nodes. The database schema wiring model maps routes in the domain knowledge graph to database schema elements. The techniques allow a natural language interface system to accurately translate domain-specific natural language questions posed by users to structured database query language statements that can be executed against a structured database to answer the natural language question.

Abstract: Computer-implemented techniques for constructing structured database query language statements from natural language questions are disclosed. In some embodiments, a knowledge graph-based approach is employed to construct a structured database query language statement such as, for example, a Structure Query Language (SQL) statement, from a natural language question. The approach encompasses a domain knowledge graph model and a database schema wiring model. The domain knowledge graph model represents domain-specific knowledge about the underlying database data in the form of a graph having nodes and directed edges between the nodes. The database schema wiring model maps routes in the domain knowledge graph to database schema elements. The techniques allow a natural language interface system to accurately translate domain-specific natural language questions posed by users to structured database query language statements that can be executed against a structured database to answer the natural language question.

Abstract: A system for enabling communication between devices is described. The system includes the following: a media processing information receiver configured for receiving, at a first device, media processing information associated with a second device, wherein at least one of the first and second device is a mobile device; a comparer configured for comparing the media processing information to a processing time of the at least one media processing component of the first device; a target adjustment level determiner configured for determining a target adjustment level, wherein arriving at the target adjustment level enables the first and second device to achieve a matching media processing quality level; and a media processing component adjuster coupled with the computer and configured for adjusting the at least one media processing component of the first device to meet the target adjustment level.

Abstract: A system for enabling communication between devices is described. The system includes the following: a media processing information receiver configured for receiving, at a first device, media processing information associated with a second device, wherein at least one of the first and second device is a mobile device; a comparer configured for comparing the media processing information to a processing time of the at least one media processing component of the first device; a target adjustment level determiner configured for determining a target adjustment level, wherein arriving at the target adjustment level enables the first and second device to achieve a matching media processing quality level; and a media processing component adjuster coupled with the computer and configured for adjusting the at least one media processing component of the first device to meet the target adjustment level.