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: 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: 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: 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: 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: According to an embodiment of the present invention, a system optimizes an information processing environment, and comprises at least one processor. The system collects information pertaining to operational behavior of the information processing environment and including a plurality of parameters. A neural network structure is established to associate the parameters to a desired operational performance characteristic for the information processing environment. The neural network structure is trained with the collected information from the information processing environment to produce a model for the information processing environment. The model is optimized to determine values for the parameters and the information processing environment is adjusted based on the determined parameter values to attain the desired operational performance of the information processing environment.

Abstract: A mechanism is provided in a data processing system for categorization of assets. The mechanism receives attribute values for a set of information technology (IT) assets. The mechanism performs k-means clustering analysis to cluster together IT assets with similar attributes to form a set of asset clusters. The mechanism uses a knowledge representation associated with the set of IT assets to assign the IT assets into a set of tentative clusters. The mechanism categorizes the set of IT assets into categories based on a combination of the set of asset clusters and the set of tentative clusters.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.

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: According to an embodiment of the present invention, a system optimizes an information processing environment, and comprises at least one processor. The system collects information pertaining to operational behavior of the information processing environment and including a plurality of parameters. A neural network structure is established to associate the parameters to a desired operational performance characteristic for the information processing environment. The neural network structure is trained with the collected information from the information processing environment to produce a model for the information processing environment. The model is optimized to determine values for the parameters and the information processing environment is adjusted based on the determined parameter values to attain the desired operational performance of the information processing environment.

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 in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

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: Described is a first panel for a carton comprising a first guide sheet having a first width (W1), a front panel coupled to the first guide sheet, a first side panel coupled to the front panel, and a top panel coupled to the front panel. Described is a carton blank for a carton comprising the first panel, and a second panel coupled to the first panel comprising a second guide sheet, a back panel coupled to the second guide sheet, a second side panel coupled to the back panel, and a bottom panel coupled to the back panel. The second panel is inverted relative to the first panel. Described is a method for forming a carton comprising producing the carton blank, printing content on the carton blank, removing the first guide sheet and the second guide sheet from the carton blank, and folding the carton blank along score lines to form the carton.

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 in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

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: According to an embodiment of the present invention, a system optimizes an information processing environment, and comprises at least one processor. The system collects information pertaining to operational behavior of the information processing environment and including a plurality of parameters. A neural network structure is established to associate the parameters to a desired operational performance characteristic for the information processing environment. The neural network structure is trained with the collected information from the information processing environment to produce a model for the information processing environment. The model is optimized to determine values for the parameters and the information processing environment is adjusted based on the determined parameter values to attain the desired operational performance of the information processing environment.

Abstract: Methods, computer program products and systems are directed to receiving a query regarding an information architecture, selecting a set of nodes based on the query, from a plurality of nodes in a weighted linked graph, the weighted linked graph comprising the plurality of nodes and a plurality of pathways, each of the plurality of nodes comprising a source of information regarding the information architecture, each of the plurality of pathways connecting one of the plurality of nodes to another of the plurality of nodes, each of the plurality of pathways comprising a weight, determining a path from the plurality of pathways that passes through all of selected nodes, and presenting the path in response to the query.

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 in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.