International Business Machines Corporation

Paul K Bullis

Geoffrey Martin Hambrick

Kelley Anders

Peter C Bahrs

Christopher N Bailey

Daniel P Julin

Li Fu Chen

James Edward Fox

Martin John Trotter

Carolyn Haibt Norton

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

Maintaining core dump privacy during application fault handling. A core memory dump is received for an application from a runtime engine. Areas of the core memory dump are analyzed to identify structural data in the form of internal structures of the runtime engine. The identified structural data is retained in a modified core memory dump, and remaining non-structural data in the areas of the core memory dump is processed to ensure it is not readable by unauthorized entities in the modified core memory dump. The modified core memory dump is outputted for fault analysis.

Maintaining core dump privacy during application fault handling

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 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

Embodiments of the present invention address deficiencies of the art in respect to core dump generation during application fault handling and provide a method, system and computer program product for privacy preservation of core dump data during application fault handling. In an embodiment of the invention, a method for privacy preservation of core dump data during application fault handling can be provided. The method can include receiving a crash signal for an application and generating a core dump with object data for the application. The method further can include obfuscating the object data in the core dump and writing the core dump with obfuscated object data to a file. In this way, the privacy of the object data in the core dump can be preserved.

Core dump privacy during application failure

An approach is provided in which a resolution manager stores a machine-readable problem, which includes a problem signature, and a human-readable solution in a document. The resolution manager receives an output file from a computer system and matches an output entry included in the output file to the problem signature. In turn, the resolution manager identifies the human-readable solution corresponding to the matched problem signature and provides the identified human-readable solution to the computer system.

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Cedar Park, TX, United States of America

Paul K Bullis