Abstract: Disclosed is a system allowing to query data warehouses using SPARQL. An aspect of the system may support the representation of multidimensional data as virtual graphs. Another aspect of the system may provide mapping of SPARQL queries directed against multidimensional data vis-à-vis the graphs to native queries directed against the multidimensional data. Responses from the native queries may then be translated to a SPARQL response format.

Abstract: Electrical distribution network (EDN) improvement method for plug-in electric vehicles receives and stores in a database EDN configuration information, demography information and load information for simulating load of the EDN assets. The method dynamically updates the EDN configuration, demography information and/or load information to provide an efficient and customizable method of simulating a PEV load impact on an EDN configuration and apply improvements to the EDN in real time.

Abstract: Disclosed is a system allowing to query data warehouses using SPARQL. An aspect of the system may support the representation of multidimensional data as virtual graphs. Another aspect of the system may provide mapping of SPARQL queries directed against multidimensional data vis-à-vis the graphs to native queries directed against the multidimensional data. Responses from the native queries may then be translated to a SPARQL response format.

Abstract: Methods, systems, and computer-readable storage media for recommending one or more indicators to be monitored. In some implementations, actions include receiving user input, the user input indicating a measure selected by a user, identifying a plurality of dimensions corresponding to the measure, receiving goal data, the goal data being provided by the user, determining a rank for each dimension of the plurality of dimensions, each rank being determined based on a risk and a contribution associated with a respective dimension, the risk being determined based on the goal data, and providing dimensions of the plurality of dimensions for display to the user, the dimensions being displayed based on rank, each dimension filtering the measure to provide a respective filtered measure, the filtered measure being an indicator that can be monitored.

Abstract: Creation of a widget for presenting a key indicator is initiated based on a selection over first displayed data. The selection is made over a portion of the first displayed data. A current data context for the first displayed data and the made selection is determined. Based on the current data context, a list of widget types available for creation of a widget for the key indicator is suggested. For the elements from the list of widget types, an advice is built to include a list of widget descriptors. An interaction is made to select a widget descriptor from the advice. According to the selected widget descriptor, a widget is created that embeds a query that extracts a portion of the current data context in order to present relevant widget data for the key indicator within the widget.

Abstract: Disclosed is a system allowing to query data warehouses using SPARQL. An aspect of the system may support the representation of multidimensional data as virtual graphs. Another aspect of the system may provide mapping of SPARQL queries directed against multidimensional data vis-à-vis the graphs to native queries directed against the multidimensional data. Responses from the native queries may then be translated to a SPARQL response format.

Abstract: Disclosed is a system allowing to query data warehouses using SPARQL. An aspect of the system may support the representation of multidimensional data as virtual graphs. Another aspect of the system may provide mapping of SPARQL queries directed against multidimensional data vis-à-vis the graphs to native queries directed against the multidimensional data. Responses from the native queries may then be translated to a SPARQL response format.

Abstract: Electrical distribution network (EDN) improvement method for plug-in electric vehicles receives and stores in a database EDN configuration information, demography information and load information for simulating load of the EDN assets. The method dynamically updates the EDN configuration, demography information and/or load information to provide an efficient and customizable method of simulating a PEV load impact on an EDN configuration and apply improvements to the EDN in real time.

Abstract: A driving management system includes a driving data collection module and a processing module. The driving data collection module, which is deployed within a vehicle, collects individual vehicle operation information for the vehicle in response to operation of the vehicle. The processing module compares the individual vehicle operation information with collective empirical vehicle operation information to provide individual comparison results. The processing module also provides vehicle operation feedback information to at least one user associated with the vehicle based on the individual comparison results. The collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.