Abstract: System and methods are described for distributing artifacts in a cloud computing environment. Processing includes receiving an artifact at an upstream computing system in a network of computing systems, the artifact including a file of a continuous integration (CI) process, dividing the artifact into chunks, storing the chunks into a shared storage of the upstream computing system accessible by downstream computing systems of the network, determining downstream computing systems in the network to receive the artifact, receiving a request from one of the downstream computing systems for a chunk of the artifact; and providing the chunk to the downstream computing system from the shared storage.

Abstract: System and methods are described for distributing artifacts in a cloud computing environment. Processing includes receiving an artifact at an upstream computing system in a network of computing systems, the artifact including a file of a continuous integration (CI) process, dividing the artifact into chunks, storing the chunks into a shared storage of the upstream computing system accessible by downstream computing systems of the network, determining downstream computing systems in the network to receive the artifact, receiving a request from one of the downstream computing systems for a chunk of the artifact; and providing the chunk to the downstream computing system from the shared storage.

Abstract: Compression of extensive, rule-based grammars used to facilitate search queries is provided herein. Rule-based grammars include a list of rules that each comprise a sequence of token classes. Each token class is a logical grouping of tokens, and each token is a string of characters. A grammar is parsed to identify rules and token classes. Unimportant token classes are identified and sets of unimportant token classes are merged to generated merged token classes. A compressed grammar is generated by substituting the merged token classes into the grammar for corresponding unimportant token classes used to generate the merged token classes.

Abstract: Compression of extensive, rule-based grammars used to facilitate search queries is provided herein. Rule-based grammars include a list of rules that each comprise a sequence of token classes. Each token class is a logical grouping of tokens, and each token is a string of characters. A grammar is parsed to identify rules and token classes. Unimportant token classes are identified and sets of unimportant token classes are merged to generated merged token classes. A compressed grammar is generated by substituting the merged token classes into the grammar for corresponding unimportant token classes used to generate the merged token classes.

Abstract: Compression of extensive, rule-based grammars used to facilitate search queries is provided herein. Rule-based grammars includes a list of rules that each comprise a sequence of token classes. Each token class is a logical grouping of tokens, and each token is a string of characters. A grammar is parsed to identify rules and token classes. Unimportant token classes are identified and sets of unimportant token classes are merged to generated merged token classes. A compressed grammar is generated by substituting the merged token classes into the grammar for corresponding unimportant token classes used to generate the merged token classes.

Abstract: A full text indexing system is provided for processing content associated with data applications such as encyclopedia and dictionary applications. A build process collects data from various sources, processes the data into constituent parts, including alternative word sets, and stores the constituent parts in structured database tables. A run-time process is used to query the database tables and the results in order to provide effective matches in an efficient manner. Run-time processing is optimized by preprocessing all steps that are query-independent during the build process. A double word table representing all possible word pair combinations for each index entry and an alternative word table are used to further optimize runtime processing.

Abstract: A full text indexing system is provided for processing content associated with data applications such as encyclopedia and dictionary applications. A build process collects data from various sources, processes the data into constituent parts, including alternative word sets, and stores the constituent parts in structured database tables. A run-time process is used to query the database tables and the results in order to provide effective matches in an efficient manner. Run-time processing is optimized by preprocessing all steps that are query-independent during the build process. A double word table representing all possible word pair combinations for each index entry and an alternative word table are used to further optimize runtime processing.

Abstract: Generation of patterns used to facilitate search queries is provided herein. A pattern includes a sequence of token classes and new token classes. A sample query is parsed to identify tokens within the sample query that match a token associated with a referenced set of token classes. New token classes are generated for unidentified tokens within the sample query. A pattern is generated by substituting the identified tokens of the sample query with corresponding token classes and substituting the unidentified tokens of the sample query with corresponding new token classes.

Abstract: Compression of extensive, rule-based grammars used to facilitate search queries is provided herein. Rule-based grammars includes a list of rules that each comprise a sequence of token classes. Each token class is a logical grouping of tokens, and each token is a string of characters. A grammar is parsed to identify rules and token classes. Unimportant token classes are identified and sets of unimportant token classes are merged to generated merged token classes. A compressed grammar is generated by substituting the merged token classes into the grammar for corresponding unimportant token classes used to generate the merged token classes.

Abstract: A full text indexing system is provided for processing content associated with data applications such as encyclopedia and dictionary applications. A build process collects data from various sources, processes the data into constituent parts, including alternative word sets, and stores the constituent parts in structured database tables. A run-time process is used to query the database tables and the results in order to provide effective matches in an efficient manner. Run-time processing is optimized by preprocessing all steps that are query-independent during the build process. A double word table representing all possible word pair combinations for each index entry and an alternative word table are used to further optimize run-time processing.