Abstract: Lifecycle management for blueprints of information technology systems includes determining, using a processor, a component referenced by a blueprint defining an information technology system and determining a component tool used to manage the component. The component is registered with a sensor within the component tool. Responsive to detecting a change in status of the component within the component tool, the sensor sends a notification.

Abstract: Lifecycle management for blueprints of information technology systems includes determining, using a processor, a component referenced by a blueprint defining an information technology system and determining a component tool used to manage the component. The component is registered with a sensor within the component tool. Responsive to detecting a change in status of the component within the component tool, the sensor sends a notification.

Abstract: Disclosed aspects relate to counter-fraud operation management. A counter-fraud operation may be executed using an initial set of parameter values for a set of parameters of the counter-fraud operation. A set of user counter-fraud activities of a user may be monitored corresponding to a user interface. A set of user feedback data may be captured to determine a feedback-driven set of parameter values for a set of parameters of the counter-fraud operation. The feedback-driven set of parameter values may be determined for the set of parameters of the counter-fraud operation. The counter-fraud operation using the feedback-driven set of parameter values may be executed.

Abstract: A method for managing user information streams associated with recommendation systems based on cognitively counter-matched mined content is provided. The method may include determining and extracting first concepts from mined content. The method may further include determining second concepts associated with the determined and extracted, wherein the second concepts comprise one or more different interpretations of the first concepts. The method may further include determining relationships between the second concepts by analyzing the second concepts using data mining analysis techniques. The method may further include, based on the determined one or more relationships between the sub-concepts, counter-matching the plurality of mined content associated with each second concept. The method may also include providing alternative content to the information streams based on the counter-matched plurality of mined content.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying pathways in a graph of interconnected nodes. A time series of graph data is captured, which corresponds to events occurring at different nodes in the graph. The graph is traversed to identify consistent and variable pathways, respectively, within the graph. The identified pathways are scored according to a particular feature to establish an expected variance model for the events contained within the graph. Newly received data are compared against the expected variance model to determine a degree to which the newly received data deviates from the expected variance. The variance model is adjusted based on the newly encountered data.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying pathways in a graph of interconnected nodes. A time series of graph data is captured, which corresponds to events occurring at different nodes in the graph. The graph is traversed to identify consistent and variable pathways, respectively, within the graph. The identified pathways are scored according to a particular feature to establish an expected variance model for the events contained within the graph. Newly received data are compared against the expected variance model to determine a degree to which the newly received data deviates from the expected variance. The variance model is adjusted based on the newly encountered data.

Abstract: Disclosed aspects relate to counter-fraud operation management. A counter-fraud operation may be executed using an initial set of parameter values for a set of parameters of the counter-fraud operation. A set of user counter-fraud activities of a user may be monitored corresponding to a user interface. A set of user feedback data may be captured to determine a feedback-driven set of parameter values for a set of parameters of the counter-fraud operation. The feedback-driven set of parameter values may be determined for the set of parameters of the counter-fraud operation. The counter-fraud operation using the feedback-driven set of parameter values may be executed.

Abstract: Disclosed aspects relate to counter-fraud operation management. A counter-fraud operation may be executed using an initial set of parameter values for a set of parameters of the counter-fraud operation. A set of user counter-fraud activities of a user may be monitored corresponding to a user interface. A set of user feedback data may be captured to determine a feedback-driven set of parameter values for a set of parameters of the counter-fraud operation. The feedback-driven set of parameter values may be determined for the set of parameters of the counter-fraud operation. The counter-fraud operation using the feedback-driven set of parameter values may be executed.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Managing and validating a project using an information landscape. Embodiments include providing an information landscape including a topology of landscape elements for the project, linking the topology of landscape elements to a plurality of solution artifacts, and validating at least one of the plurality of solution artifacts and semantics of the information landscape.

Abstract: Managing and validating a project using an information landscape. Embodiments include providing an information landscape including a topology of landscape elements for the project, linking the topology of landscape elements to a plurality of solution artifacts, and validating at least one of the plurality of solution artifacts and semantics of the information landscape.

Abstract: Provided are a computer implemented method, computer program product, and system for generating a project plan by creating an association between a development method in a hierarchy of development methods and an architectural element in a hierarchy of architectural elements in a computer-based model of a system, and providing a computer-based user interface configured to facilitate navigation between the development method and the associated architectural element.

Abstract: An approach is provided for providing spatio-temporal key performance indicators (ST-KPIs). The approach tracks metrics, such as crowd density, pertaining to a number of locations. The tracking is performed over time to develop a history of past values that correspond to the metrics. The history is used to predict a trend of future metrics at the locations with the trend resulting in predicted future values that correspond to the metrics at the locations. In this manner, the ST-KPIs reflect the predicted future values at the various locations that are being monitored. A city view is displayed to a user showing the current and predicted values at defined ST-KPI locations throughout the city.

Abstract: An approach is provided for providing spatio-temporal key performance indicators (ST-KPIs). The approach tracks metrics, such as crowd density, pertaining to a number of locations. The tracking is performed over time to develop a history of past values that correspond to the metrics. The history is used to predict a trend of future metrics at the locations with the trend resulting in predicted future values that correspond to the metrics at the locations. In this manner, the ST-KPIs reflect the predicted future values at the various locations that are being monitored. A city view is displayed to a user showing the current and predicted values at defined ST-KPI locations throughout the city.

Abstract: Provided are a computer implemented method, computer program product, and system for generating a project plan by creating an association between a development method in a hierarchy of development methods and an architectural element in a hierarchy of architectural elements in a computer-based model of a system, and providing a computer-based user interface configured to facilitate navigation between the development method and the associated architectural element.

Abstract: A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.

Abstract: For distributed analysis of time-series data in a smart entity environment, the data is received from a data source in the environment. An overall analysis of the data is distributed to a first node in the environment. In a network operating the environment the first node is at a smaller distance from the data source as compared to a second node. A first portion of the overall analysis is performed on the data at the first node to produce a first conclusion. The first conclusion is routed to the second node. The second node performs a second portion of the overall analysis. Using the first conclusion, from the first node, a first action is caused to occur on a component of the environment. The data source is associated with the component, the data is indicative of a condition in the environment, and the component participates in the condition.

Abstract: A method for managing user information streams associated with recommendation systems based on cognitively counter-matched mined content is provided. The method may include determining and extracting first concepts from mined content. The method may further include determining second concepts associated with the determined and extracted, wherein the second concepts comprise one or more different interpretations of the first concepts. The method may further include determining relationships between the second concepts by analyzing the second concepts using data mining analysis techniques. The method may further include, based on the determined one or more relationships between the sub-concepts, counter-matching the plurality of mined content associated with each second concept. The method may also include providing alternative content to the information streams based on the counter-matched plurality of mined content.

Abstract: For distributed analysis of time-series data in a smart entity environment, the data is received from a data source in the environment. An overall analysis of the data is distributed to a first node in the environment. In a network operating the environment the first node is at a smaller distance from the data source as compared to a second node. A first portion of the overall analysis is performed on the data at the first node to produce a first conclusion. The first conclusion is routed to the second node. The second node performs a second portion of the overall analysis. Using the first conclusion, from the first node, a first action is caused to occur on a component of the environment. The data source is associated with the component, the data is indicative of a condition in the environment, and the component participates in the condition.

Abstract: Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with an indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assets “hubs” as well as information assets that may provide low utility to individuals within the enterprise.