Abstract: Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Abstract: A data structure is generated containing enumerators for data types of a domain, text forms of the enumerators and context patterns for the text forms. The data structure also includes information extraction rules that are associated with the enumerators. The data structure is updated with additional context patterns and text forms that are identified within a set of documents to which text analytic annotators are to be tuned. The set of documents are analyzed against the updated data structure and additional extraction rules are generated based on the analysis.

Abstract: Provided are techniques for a high performance compliance mechanism for structured and unstructured data in an enterprise. A record to represent a collection of structured objects is generated. The record is stored in a file plan container associated with a disposition schedule.

Abstract: Processing a database query for sets of data includes assigning a unique identifier from an integer space to each entity within data and creating one or more sets of entities each pertaining to a corresponding entity within the data. A representation is then generated on disk for each set of entities, wherein each representation encompasses and is suited for a range of the unique identifiers of entities within a corresponding set and indicates a presence of an entity within that corresponding set. Finally, a query is processed based on the representation for each set of entities to retrieve data satisfying the query, wherein the representation provides a constant time for association and dissociation operations that are append-only operations with deferred merge and automatic filtering of deleted and duplicate entities at query time.

Abstract: In an approach for parallelizing document processing in an information handling system, a processor receives a document, wherein the document includes text content. A processor extracts information from the text content, utilizing natural language processing and semantic analysis, to form tokenized semantic partitions, comprising a plurality of sub-documents. A processor schedules a plurality of concurrently executing threads to process the plurality of sub-documents.

Abstract: In an approach for parallelizing document processing in an information handling system, a processor receives a document, wherein the document includes text content. A processor extracts information from the text content, utilizing natural language processing and semantic analysis, to form tokenized semantic partitions, comprising a plurality of sub-documents. A processor schedules a plurality of concurrently executing threads to process the plurality of sub-documents.

Abstract: Mechanisms are provided, in a cloud computing data processing system comprising a plurality of components, hosted on one or more hardware computing devices of the cloud computing data processing system, for transactional resource and topology management. A cloud service system is instantiated that comprises component instances having allocated resources. The cloud service system comprises orchestration engine logic which generates a transactional data structure that stores objects corresponding to transactions executed in association with resources and component instance state changes. The orchestration engine logic receives transactions associated with resources or component instances of the cloud service system and records the transactions as objects in the transactional data structure in response to receiving the transactions.

Abstract: Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Abstract: Mechanisms are provided, in a cloud computing data processing system comprising a plurality of components, hosted on one or more hardware computing devices of the cloud computing data processing system, for transactional resource and topology management. A cloud service system is instantiated that comprises component instances having allocated resources. The cloud service system comprises orchestration engine logic which generates a transactional data structure that stores objects corresponding to transactions executed in association with resources and component instance state changes. The orchestration engine logic receives transactions associated with resources or component instances of the cloud service system and records the transactions as objects in the transactional data structure in response to receiving the transactions.

Abstract: A method and system for distributing tasks from an external application among concurrent database application server instances in a database system for optimum load balancing, based on consensus among the instances. Each application instance identifies a task partition ownership by those in a membership group based on a time window and generates a new membership group and partition ownership based on the current partition ownership. The instance makes the new membership group and partition ownership known to other members by recoding them in the membership table and partition map. Each participation by an instance in the membership group is identified by a random number. The new membership group and partition ownership are generated and adjusted based on an average partition allocation to achieve consensus among the instances.

Abstract: According to one embodiment of the present invention, a system maps one or more virtual relations to a table of a relational database management system. The system generates a structured query language (SQL) statement for the table from a SQL statement for a virtual relation by applying the mapping to one or more elements of the SQL statement for the virtual relation. Embodiments of the present invention further include a method and computer program product for mapping virtual relations to a table in substantially the same manners described above.

Abstract: According to one embodiment of the present invention, a system maps one or more virtual relations to a table of a relational database management system. The system generates a structured query language (SQL) statement for the table from a SQL statement for a virtual relation by applying the mapping to one or more elements of the SQL statement for the virtual relation. Embodiments of the present invention further include a method and computer program product for mapping virtual relations to a table in substantially the same manners described above.

Abstract: A method and system for distributing tasks from an external application among concurrent database application server instances in a database system for optimum load balancing, based on consensus among the instances. Each application instance identifies a task partition ownership by those in a membership group based on a time window and generates a new membership group and partition ownership based on the current partition ownership. The instance makes the new membership group and partition ownership known to other members by recoding them in the membership table and partition map. Each participation by an instance in the membership group is identified by a random number. The new membership group and partition ownership are generated and adjusted based on an average partition allocation to achieve consensus among the instances.

Abstract: Mechanisms are provided, in a cloud computing data processing system comprising a plurality of components, hosted on one or more hardware computing devices of the cloud computing data processing system, for transactional resource and topology management. A cloud service system is instantiated that comprises component instances having allocated resources. The cloud service system comprises orchestration engine logic which generates a transactional data structure that stores objects corresponding to transactions executed in association with resources and component instance state changes. The orchestration engine logic receives transactions associated with resources or component instances of the cloud service system and records the transactions as objects in the transactional data structure in response to receiving the transactions.

Abstract: Provided are a computer program product, system, and method for distributed processing of a query with distributed posting lists. A dispatch map has entries, wherein each entry identifies one of a plurality of terms in a dictionary, wherein for each of the terms there is a posting list identifying zero or more objects including the term, wherein at least one of the dispatch map entries indicate at least one distributed processing element including the posting list for the term. The dispatch map is used to dispatch sub-expressions comprising portions of a query to distributed processing elements having the posting lists for terms in the sub-expressions, wherein the distributed processing elements distributed the sub-expressions execute the sub-expressions on the posting lists for the terms in the sub-expression.

Abstract: Provided are a computer program product, system, and method for distributed processing of a query with distributed posting lists. A dispatch map has entries, wherein each entry identifies one of a plurality of terms in a dictionary, wherein for each of the terms there is a posting list identifying zero or more objects including the term, wherein at least one of the dispatch map entries indicate at least one distributed processing element including the posting list for the term. The dispatch map is used to dispatch sub-expressions comprising portions of a query to distributed processing elements having the posting lists for terms in the sub-expressions, wherein the distributed processing elements distributed the sub-expressions execute the sub-expressions on the posting lists for the terms in the sub-expression.

Abstract: Mechanisms are provided, in a cloud computing data processing system comprising a plurality of components, hosted on one or more hardware computing devices of the cloud computing data processing system, for transactional resource and topology management. A cloud service system is instantiated that comprises component instances having allocated resources. The cloud service system comprises orchestration engine logic which generates a transactional data structure that stores objects corresponding to transactions executed in association with resources and component instance state changes. The orchestration engine logic receives transactions associated with resources or component instances of the cloud service system and records the transactions as objects in the transactional data structure in response to receiving the transactions.

Abstract: Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Abstract: Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Abstract: In an approach for parallelizing document processing in an information handling system, a processor receives a document, wherein the document includes text content. A processor extracts information from the text content, utilizing natural language processing and semantic analysis, to form tokenized semantic partitions, comprising a plurality of sub-documents. A processor schedules a plurality of concurrently executing threads to process the plurality of sub-documents.