Abstract: Disclosed herein are system, method, and device embodiments for implementing semantic discovery. An embodiment operates by retrieving a plurality of entities from a database instance. A semantic graph representation of the plurality of entities is generated within a graphical user interface. Context information is received from a user. A focus node is determined from the plurality of nodes using the context information. A semantic context of the focus node is determined, wherein the semantic context includes the focus node, a subset of the plurality of nodes, and subset of the plurality of edges. Responsive to the receiving, a visual indication of the semantic context is displayed within the graphical user interface.

Abstract: A gear motor includes a gear mechanism driven via a clutch by an electric motor. The clutch is at least partially enclosed by a protective part, and the protective part includes two cowl parts. The cowl parts are connected to one another and each cowl part includes grill openings, e.g., on their side facing toward the electric motor.

Abstract: Disclosed herein are system, method, and device embodiments for implementing semantic discovery. An embodiment operates by retrieving a plurality of entities from a database instance. A semantic graph representation of the plurality of entities is generated within a graphical user interface. Context information is received from a user. A focus node is determined from the plurality of nodes using the context information. A semantic context of the focus node is determined, wherein the semantic context includes the focus node, a subset of the plurality of nodes, and subset of the plurality of edges. Responsive to the receiving, a visual indication of the semantic context is displayed within the graphical user interface.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining an object of interest in an augmented reality environment, displaying an augmented reality selector containing pertinent actions in a reachable area, and causing a selected action to be executed. The augmented reality application may determine an augmented reality object of interest in an augmented reality experience and determine a reachable area of screen from the determined object to a reachable area. The augmented reality application may then display an augmented reality selector in the reachable area that includes interaction options determined based on the augmented reality object being focused on. In a mobile embodiment, this enhancement allows users to interact with the object without repositioning their hands or losing site of the object in the augmented reality experience.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining an object of interest in an augmented reality environment, displaying an augmented reality selector containing pertinent actions in a reachable area, and causing a selected action to be executed. The augmented reality application may determine an augmented reality object of interest in an augmented reality experience and determine a reachable area of screen from the determined object to a reachable area. The augmented reality application may then display an augmented reality selector in the reachable area that includes interaction options determined based on the augmented reality object being focused on. In a mobile embodiment, this enhancement allows users to interact with the object without repositioning their hands or losing site of the object in the augmented reality experience.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating and adjusting multi-dimensional data visualizations. An embodiment operates by a computer implemented method that includes evaluating, by at least one processor, data to be displayed on a multi-dimensional data visualization and information associated with the multi-dimensional data visualization. The method further includes determining one or more parameters for the multi-dimensional data visualization based on the evaluated data and the evaluated information. The method further includes generating the multi-dimensional data visualization based on the determined one or more parameters, where the multi-dimensional data visualization comprises at least four dimensions. The method also includes graphically displaying the multi-dimensional data visualization.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating and adjusting multi-dimensional data visualizations. An embodiment operates by a computer implemented method that includes evaluating, by at least one processor, data to be displayed on a multi-dimensional data visualization and information associated with the multi-dimensional data visualization. The method further includes determining one or more parameters for the multi-dimensional data visualization based on the evaluated data and the evaluated information. The method further includes generating the multi-dimensional data visualization based on the determined one or more parameters, where the multi-dimensional data visualization comprises at least four dimensions. The method also includes graphically displaying the multi-dimensional data visualization.

Abstract: The subject matter disclosed herein provides methods for determining the user-specific relevance of various applications and displaying a graphical representation of these relevance values. The method may receive information from one or more applications installed on a device. This information may include importance parameters, importance parameter values, urgency parameters, and urgency parameter values associated with each application. A composite importance value and a composite urgency value may be determined for each application. A relevance value may be determined for each application based on the composite importance value and composite urgency value. A graphical representation of the relevance of each application may be displayed on the device. Related apparatus, systems, techniques, and articles are also described.

Abstract: A system calculates a relevance of sales opportunities and generates a visualization of the relevance of the sales opportunities. Objects from a customer relationship management (CRM) database and other business application database are accessed to compute an importance score and an urgency score for each object. The importance score is computed based on parameters indicative of an importance of an opportunity. The urgency score is computed based on parameters indicative of an urgency of an opportunity. A relevance score is computed for the objects using the importance score and the urgency score. The objects are ranked based on the corresponding relevance score. A visualization of the objects from the CRM database with relevance scores exceeding a relevance score threshold is generated.

Abstract: The subject matter disclosed herein provides methods for determining the user-specific relevance of various applications and displaying a graphical representation of these relevance values. The method may receive information from one or more applications installed on a device. This information may include importance parameters, importance parameter values, urgency parameters, and urgency parameter values associated with each application. A composite importance value and a composite urgency value may be determined for each application. A relevance value may be determined for each application based on the composite importance value and composite urgency value. A graphical representation of the relevance of each application may be displayed on the device. Related apparatus, systems, techniques, and articles are also described.

Abstract: Methods and apparatus, including computer program products, for risk assessment and analysis. Asset data representing a set of assets is received. Threat data representing a set of threats is received. Measures data representing a set of measures is received. A loss expectancy based upon the value of the assets, the potential reduction of value caused by the threats, and the protection of the value caused by the measures is automatically calculated. Project data representing a simulated project is received. A revised loss expectancy is automatically calculated based upon the value of the assets, the potential reduction of value caused by the threats, and the protection of the value caused by the measures as modified by the simulated project. A savings caused by the simulated project is automatically calculated based upon the loss expectancy and revised loss expectancy.

Abstract: Methods and apparatus, including computer program products, for risk assessment and analysis. In one general aspect, asset data representing a set of assets is received. Threat data representing a set of threats is received. Requirements data representing one or more requirements is received, wherein each requirement requires compliance with a regulation and a failure to satisfy the requirement constitutes a threat additional to the set of threats. Measures data representing a set of measures is received. A current status is calculated using the measures data and the requirements data based on a level of compliance with the requirements, the level of compliance determined by the measures and the additional one or more threats to one or more assets represented by the measures data and the requirements data.

Abstract: Methods and apparatus, including computer program products, for risk assessment and analysis In one general aspect, asset data representing a set of assets is received, the asset data includes a respective value for each asset in the set of assets having a value. Threat data representing a set of threats is received; each threat in the set of threats potentially reduces the value of one or more of the assets in the set of assets. Measures data representing a set of measures is received; each measure in the set of measures protects the value of one or more assets from one or more threats. Assessment data representing one or more assessments is received; each assessment rates one or more measures. An implementation level for each measure is calculated based upon the assessment data.

Abstract: Methods and apparatus, including computer program products, for risk assessment and analysis. Asset data representing a set of assets is received. Threat data representing a set of threats is received. Measures data representing a set of measures is received. A loss expectancy based upon the value of the assets, the potential reduction of value caused by the threats, and the protection of the value caused by the measures is automatically calculated. Project data representing a simulated project is received. A revised loss expectancy is automatically calculated based upon the value of the assets, the potential reduction of value caused by the threats, and the protection of the value caused by the measures as modified by the simulated project. A savings caused by the simulated project is automatically calculated based upon the loss expectancy and revised loss expectancy.