International Business Machines Corporation

Geoffrey Martin Hambrick

Paul K Bullis

Sridhar Sudarsan

Robert Howard High, Jr

Stan Kevin Daley

Claus T Jensen

Rodney Alan Little

Nicolas Changhai Ke

Pierre Haren

George Prentice Copeland

Christopher Henry Gerken

Kulvir Singh Bhogal

Kelley Anders

Robert Ross Peterson

Peter C Bahrs

Roland Barcia

Martin James Smithson

Alan Iain Boyle

Yi-hsiu Wei

Timothy Marc Francis

Eric Nels Herness

Stephen Joseph Kinder

Roger H Sessions

Charles James Redlin

Hobert Bush, Iii

Guylaine Cantin

Seiki Yaegashi

James Matthew Rowan

Ryuta Hasumi

Kenichi Horiuchi

Hiroyuki Tarusawa

Damarius Hayes

Judd Thomas Rogers

A method and system are provided. The method includes providing an actionable business entity operating model. The method further includes extending the actionable business entity operating model to drive user interface behavior on a user interface device having at least a display device, by extending class and property meta classes of the actionable business entity operating model to include user interface behavior semantics. The extending step includes configuring the user interface behavior semantics to be responsive to an operation state of the actionable business entity operating model.

Actionable business entity operating models to drive user interface behavior

A problem context is computed from an input at an application. The problem context includes a set of problem factors, the input including a problem to be solved using a cognitive system. A user context is computed from the input at the application, the user context including a set of user factors. A type of media is determined corresponding to a complexity of a cognitive solution received from the cognitive system, where the cognitive solution is in response to the problem. Using a problem factor from the set of problem factors, using a user factor in the set of user factors, and the complexity, a mode of communication is determined. A communication apparatus is adjusted to cause a data communication to occur and deliver the cognitive solution in the type of media using the mode of communication.

Self-learning contextual modality selection for cognitive solution delivery

A set of components is computed from performing NLP on a question in an input. An actual answer is computed corresponding to the question by a cognitive system. the actual answer corresponds to an actual subset of the set of components, and an expected answer corresponds to an expected subset of the subset of components. The actual answer is mapped to an actual category in a hierarchy of answer categories. A distance between the expected answer and the actual answer is computed where the distance is a function of a path in the hierarchy from the actual category to the expected category, and a degree of correctness of the actual answer is another function of the distance. A self-learning operation in the cognitive system causes a revised actual answer on the question being at a shorter distance from the expected answer.

Training a cognitive system on partial correctness

Embodiments include method, systems and computer program products for managing structuring of large sets of unstructured data. In some embodiments, a search query may be received from a user via a graphical user interface (GUI). The search query may be parsed to identify a data aspect and a first value. An aspect-value pair may be generated using the data aspect and the first value. A data asset may be generated by associating a type structure to the unstructured data comprising a second value, wherein the type structure comprises the data aspect and the second value. A set of search results may be generated using the first value, wherein the set of search results comprises at least one data asset that matches the first value. Presentation of the set of search results may be facilitated, where the set of search results corresponds to the search query and comprises the data aspect.

Managing structuring of large sets of unstructured data

A session initiation with an information system is detected, the session including a search for a data item in the information system. In an application executing using a processor and a memory, a node is constructed in a search tree, the node representing a search-related step occurring in the session. The node is configured with at least a search term used in the search and a context within which the search is performed using the search term. The node is positioned relative to a second node in the search tree, where the second node corresponds to a second search that was performed prior to the search in the session. The search tree is output as a part of a search journal corresponding to the session.

Search journaling for operations analysis

A first category is determined of a first task being performed at a given time. A first asset that is configured for use with the first category is identified. A next task object is constructed. By analyzing a set of tasks that were performed during a period prior to the given time, a candidate next task is identified. The candidate next task has been performed sometime after a previous performance of the first task during the period. From the first asset, a link to a second asset is selected. The second asset is configured for use with a second category of the candidate next task. The next task object is populated with the link. The candidate next task is designated as a second task that will occur sometime after the first task.

Predictive optimization of next task through asset reuse

A category is determined of a task being planned at a given time. A collection of assets is identified, the collection having been used in a similar task at a past time. An experience report associated with an asset in the collection is extracted into a set of encapsulated experience reports, where the experience report was generated from the similar task at the past time. A degree of usability is computed corresponding to the collection, the collection being usable in the category of the task up to the degree of usability. According to the degree of usability of the collection, the collection is positioned in a sorted list of reusable assets. A reusable asset is selected from the sorted list for use in the task.

Managing reuse of assets in a workflow management system

Mechanisms for instantiating an interface or abstract class in application code are provided. An object-oriented programming language is extended such that interfaces and abstract classes can be instantiated in application code without a concrete class specified. Metadata is defined which maps each interface or abstract class instantiation in the application code to a concrete class to be used either by the compiler at build time, or the virtual machine at runtime. Once the appropriate concrete class is determined from the metadata, the class is instantiated with a conventional class loader. The metadata may be provided, for example, as a separate file, such as a markup language file, defined with a virtual machine switch, as annotations in the application code, or the like.

Instantiating an interface or abstract class in application code

A method, computer program product, and system for specifying and processing composed patterns. A method may include receiving, by a pattern process executing on a computing device, a first pattern definition including one or more outputs. The method may further include receiving, by the pattern process executing on the computing device, a second pattern definition including one or more inputs. The method may also include creating, by the pattern process executing on the computing device, a map between at least one of the one or more outputs and at least one of the one or more inputs if a type of the at least one of the one or more outputs matches a type of the at least one of the one or more inputs.

Specifying and processing composed patterns

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Round Rock, TX, United States of America

Geoffrey Martin Hambrick