Abstract: A knowledgebase of an expert system is populated with rules inferred from a set of business processes that govern the manner in which the business interacts with users. Each business process contains an input, an output, an action, and a set of dependency relationships that relate pairs of the input, the output, and the action. Each process's input, output, action, and dependency relationships are translated, respectively, into a subject, an object, a predicate, and a set of dependency relationships among the subject, object, and predicate, of a natural-language rule. Each rule is stored in the expert system's knowledgebase as a directed graph, and nodes representing each stored subject, object, and predicate are assigned domain classifications as a function of characteristics of the business rule. These domain classifications are represented within the knowledgebase as a set of domain classifications determined as a further function of characteristics of the business rule.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A computer-implemented method includes: accessing, by a computing device, content stored or captured by a user device; determining, by the computing device, context associated with the content; determining, by the computing device, a center of attention of the content based on the context; identifying, by the computing device, relationships between the center of attention and one or more other individuals or objects present in the content; and outputting, by the computing device, information identifying the relationships for displaying the information identifying the relationships on a content viewer application.

Abstract: A method and system to optimize future performance of a database management system is provided. When a request to prepare a structured language query statement is received, historical hardware statistics data of operating parameters of a database management system is analyzed for optimization of the structured language query statement. The computer determines whether a prediction module of the computer is enabled to create a prediction of future hardware statistics data of the operating parameters of a database management system for a scheduled execution time using a predetermined data mining technique that analyzes historical statistics data. A prediction is created of the future hardware statistics data for the scheduled execution time, and a structured language query execution plan is generated using the future hardware statistics data. The structured language query statement is executed according to the structured language query execution plan at the scheduled execution time.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A computer-implemented method includes: accessing, by a computing device, content stored or captured by a user device; determining, by the computing device, context associated with the content; determining, by the computing device, a center of attention of the content based on the context; identifying, by the computing device, relationships between the center of attention and one or more other individuals or objects present in the content; and outputting, by the computing device, information identifying the relationships for displaying the information identifying the relationships on a content viewer application.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A knowledgebase of an expert system is populated with rules inferred from a set of business processes that govern the manner in which the business interacts with users. Each business process contains an input, an output, an action, and a set of dependency relationships that relate pairs of the input, the output, and the action. Each process's input, output, action, and dependency relationships are translated, respectively, into a subject, an object, a predicate, and a set of dependency relationships among the subject, object, and predicate, of a natural-language rule. Each rule is stored in the expert system's knowledgebase as a directed graph, and nodes representing each stored subject, object, and predicate are assigned domain classifications as a function of characteristics of the business rule. These domain classifications are represented within the knowledgebase as a set of domain classifications determined as a further function of characteristics of the business rule.

Abstract: A knowledgebase of an expert system is populated with rules inferred from a set of business processes that govern the manner in which the business interacts with users. Each business process contains an input, an output, an action, and a set of dependency relationships that relate pairs of the input, the output, and the action. Each process's input, output, action, and dependency relationships are translated, respectively, into a subject, an object, a predicate, and a set of dependency relationships among the subject, object, and predicate, of a natural-language rule. Each rule is stored in the expert system's knowledgebase as a directed graph, and nodes representing each stored subject, object, and predicate are assigned domain classifications as a function of characteristics of the business rule. These domain classifications are represented within the knowledgebase as a set of domain classifications determined as a further function of characteristics of the business rule.

Abstract: A system, method and computer program product to validate documents is provided. A processor receives an image of a document. The processor identifies a plurality of fixed contents of the document. The processor identifies a plurality of field contents of the document. The processor determines a type of the document based, at least in part, on the plurality of fixed contents and the plurality of field contents. The processor validates the plurality of field contents of the document based, at least in part, on rules associated with the type of the document. The processor generates a validated document.

Abstract: A method and system to optimize future performance of a database management system is provided. When a request to prepare a structured language query statement is received, historical hardware statistics data of operating parameters of a database management system is analyzed for optimization of the structured language query statement. The computer determines whether a prediction module of the computer is enabled to create a prediction of future hardware statistics data of the operating parameters of a database management system for a scheduled execution time using a predetermined data mining technique that analyzes historical statistics data. A prediction is created of the future hardware statistics data for the scheduled execution time, and a structured language query execution plan is generated using the future hardware statistics data. The structured language query statement is executed according to the structured language query execution plan at the scheduled execution time.

Abstract: A system, method and computer program product to validate documents is provided. A processor receives an image of a document. The processor identifies a plurality of fixed contents of the document. The processor identifies a plurality of field contents of the document. The processor determines a type of the document based, at least in part, on the plurality of fixed contents and the plurality of field contents. The processor validates the plurality of field contents of the document based, at least in part, on rules associated with the type of the document. The processor generates a validated document.

Abstract: A system, method and computer program product to validate documents is provided. A processor receives an image of a document. The processor identifies a plurality of fixed contents of the document. The processor identifies a plurality of field contents of the document. The processor determines a type of the document based, at least in part, on the plurality of fixed contents and the plurality of field contents. The processor validates the plurality of field contents of the document based, at least in part, on rules associated with the type of the document. The processor generates a validated document.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A system, method and computer program product to validate documents is provided. A processor receives an image of a document. The processor identifies a plurality of fixed contents of the document. The processor identifies a plurality of field contents of the document. The processor determines a type of the document based, at least in part, on the plurality of fixed contents and the plurality of field contents. The processor validates the plurality of field contents of the document based, at least in part, on rules associated with the type of the document. The processor generates a validated document.

Abstract: A method and system for forecasting a histogram in a database system is provided. The method includes determining that database table statistics and historical statistical histograms associated with specified subject matter have been previously retrieved. The database table statistics and historical statistical histograms are retrieved and determined to be frequency based histograms. Historical target values associated with the historical statistical histograms are identified and new target values associated with the historical target values are identified. A a value identifying a number of occurrences for identified target values comprising the new target values and the historical target values is forecast and database table histograms comprising the identified target values are stored.

Abstract: A knowledgebase of an expert system is populated with rules inferred from a set of business processes that govern the manner in which the business interacts with users. Each business process contains an input, an output, an action, and a set of dependency relationships that relate pairs of the input, the output, and the action. Each process's input, output, action, and dependency relationships are translated, respectively, into a subject, an object, a predicate, and a set of dependency relationships among the subject, object, and predicate, of a natural-language rule. Each rule is stored in the expert system's knowledgebase as a directed graph, and nodes representing each stored subject, object, and predicate are assigned domain classifications as a function of characteristics of the business rule. These domain classifications are represented within the knowledgebase as a set of domain classifications determined as a further function of characteristics of the business rule.

Abstract: A method and associated systems for automatically generating an ontology and a set of axioms from a business-process model that represents the operations of a business. This ontology and set of axioms may be used to create the knowledgebase of an artificially intelligent expert system that emulates the business operations. A processor parses a representation of business processes stored in the business-process model, deriving a set of axioms and a set of entity classes from the parsed data. The processor uses these axioms and classes to identify concept nodes and process nodes, which it organizes into the ontology of the knowledgebase. The processor further identifies information derived from the parsed data to create a set of triple data items, each of which represents the information represented by one or more of the derived axioms. These triples are stored in the knowledgebase a triple store data structure.

Abstract: A method and associated systems for automating natural-language interactions between an expert system and a user. Characteristics of and relationships among elements of a set of business processes are captured, organized into a data structure, and stored as a set of business process models. The format, contents, and organization of these models are chosen to facilitate translating characteristics of the business processes into a format that may be stored in a knowledgebase of an expert system. The structured business-process models are then translated into a component of a knowledgebase from which an expert system may infer rules that guide its natural-language user interactions that relate to the business processes. In some embodiments, a similar method may be used to automatically translate business-process metadata, such as concept classes and process classes, into a similar knowledgebase-compatible format.