Abstract: A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes receiving data from a plurality of data sources; processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising orchestration of an augmented intelligence campaign, the orchestration being performed via a plurality of phases; and, using the augmented intelligence campaign to generate a cognitive insight.

Abstract: A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes receiving data from a plurality of data sources; processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising a cognitive agent, the cognitive agent comprising an engagement agent, the cognitive agent being composed via a cognitive agent composition platform, the cognitive agent performing a task; and, using the cognitive agent to generate a cognitive insight, the cognitive agent comprising a deployable module, the deployable module comprising logic, data and models for implementing an augmented intelligence operation.

Abstract: A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes receiving data from a plurality of data sources; processing the data from the plurality of data sources via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the cognitive computing function comprising an augmented intelligence campaign operation, the augmented intelligence campaign operation being performed via an augmented intelligence campaign orchestration platform to provide an augmented intelligence campaign; and, generating a cognitive insight using the augmented intelligence campaign.

Abstract: A system, method, and computer-readable medium are disclosed for cognitive information processing.

Abstract: A system, method, and computer-readable medium are disclosed for cognitive information processing. In various embodiments, the cognitive information processing includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function, the augmented intelligence system comprising an augmented intelligence management platform, the augmented intelligence management platform managing performance of a cognitive computing operation; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

Abstract: A SOBA lifecycle methodology is provided for assembling and maintaining service-oriented business applications (SOBAs) for effective functionality and interoperability. SOBAs are loosely coupled business processes and applications in which all functions are defined as independent, semantically-aware business services, with distributed assembly from a global chain of providers. One useful prerequisite for the methodology is analyzing the associated SOA (service-oriented architecture) strategy and infrastructure such as the hardware, software, human resources, and deployment strategy. A second prerequisite is analyzing the associated SOA governance process for how all the resources of the SOBA will work together. Governance refers to design, release, run-time, and manage-time functions.

Abstract: A utility transforms a class diagram representing an ontology, such as a UML class diagram, into a fully-described, standard representation of an ontology such as OWL file. It may be based on Rational Software Architect (RSA) and its model transformation capabilities. The RSA transformation framework uses a Visitor-like pattern for iterating over all of the UML elements in a UML diagram. The framework allows the developer to configure ‘Rule’ classes that are executed when different types of UML elements are encountered. Each UML element is visited once, which causes each rule to be fired for each element type. Rules are configured for just those UML types that are of interest to the transformation, for example classes, primitives, properties, packages and instances. Each rule in the implementation is then written to delegate to a Registrar class, which has a method for building the ontology model from the registered UML elements.