Abstract: In some examples, example-based ontology training for natural language query processing may include identifying, based on an analysis of a query by using an ontology, a term in the query that includes an unknown meaning. The query may be in a natural language format. Based on a context of the query, a proposed definition of the term may be inferred. Based on the proposed definition of the term, a request may be generated to provide a definition of the term, or to modify the proposed definition of the term. A reply to the request may be received. The reply may be in the natural language format. The reply may be analyzed to update the proposed definition of the term. The ontology may be modified to include the updated definition of the term. Based on the modified ontology, a response to the query may be generated.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A mechanism for responding to a natural language query. Linguistic parsing is applied to the natural language query to generate a set of language element(s). One or more of those language elements are mapped to parameters and/or data elements of a parameterized report, which is selected for use in responding to the query based on the mapping. The selection of the parameterized report and/or mapping to the parameterized report may use the schema of the underlying dataset that the parameterized report uses in order to perform more precise mapping and selection. The selected parameterized report is then used to construct structured data that is responsive to the query. For instance, the structured data could include visualizations. In this manner, already existing parameterized reports that were previously used to generated structured data in the form of reports, may again be used in order to respond to natural language queries.

Abstract: Mechanisms to help a computing system respond to a request for information within a data model. After determining that there is insufficient information within the data model to respond to the request, the computing system identifies one or more additional data sources that are external to the data model and that contain information suitable to respond to the request. The computing system then automatically supplements the data model with at least one of such additional data sources. The computing system then responds to the request using the supplemented data model. In some embodiments, the supplementation is performed in advance of the request by analyzing the characteristics of the data model and/or by anticipating possible future requests. Thus, a data model grows automatically in response to particular usage of that data model to satisfy requests.

Abstract: A computer-implemented method for generating a report from a report definition specifying a plurality of data scopes for a dataset includes interpreting, with a processor, a report definition for the report, the report definition comprising a calculation expression for populating a unit of the report, the calculation expression comprising a data aggregation operation, the data aggregation operation comprising an originating reference to a further data scope, accessing a memory coupled to the processor to obtain data from the dataset for respective subsets of the dataset corresponding with the further data scope, determining, with the processor, an output value for the calculation expression in accordance with the obtained data and the data aggregation operation, and rendering the report based on the output value.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A mechanism for responding to a natural language query. Linguistic parsing is applied to the natural language query to generate a set of language element(s). One or more of those language elements are mapped to parameters and/or data elements of a parameterized report, which is selected for use in responding to the query based on the mapping. The selection of the parameterized report and/or mapping to the parameterized report may use the schema of the underlying dataset that the parameterized report uses in order to perform more precise mapping and selection. The selected parameterized report is then used to construct structured data that is responsive to the query. For instance, the structured data could include visualizations. In this manner, already existing parameterized reports that were previously used to generated structured data in the form of reports, may again be used in order to respond to natural language queries.

Abstract: Embodiments are directed to determining a data insertion point in a data layout based on relative cardinalities between data objects and to determining a data insertion point in a data layout based on defined hierarchies between data objects. In an embodiment, a computer system receives a user input indicating that an additional portion of information is to be added to an existing data layout which includes multiple different data objects. The computer system accesses the data objects to determine relative cardinalities between the data objects in the data layout. The computer system determines an optimal data insertion point for inserting the additional portion of information based on the determined relative cardinalities between the data objects. The computer system also inserts the additional portion of information in the existing data layout at the determined optimal data insertion point.

Abstract: Mechanisms to help a computing system respond to a request for information within a data model. After determining that there is insufficient information within the data model to respond to the request, the computing system identifies one or more additional data sources that are external to the data model and that contain information suitable to respond to the request. The computing system then automatically supplements the data model with at least one of such additional data sources. The computing system then responds to the request using the supplemented data model. In some embodiments, the supplementation may be performed in advance of the request by analyzing the characteristics of the data model and/or by anticipating possible future requests. Thus, a data model may grow automatically in response to particular usage of that data model to satisfy requests.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: Embodiments are directed to determining a data insertion point in a data layout based on relative cardinalities between data objects and to determining a data insertion point in a data layout based on defined hierarchies between data objects. In an embodiment, a computer system receives a user input indicating that an additional portion of information is to be added to an existing data layout which includes multiple different data objects. The computer system accesses the data objects to determine relative cardinalities between the data objects in the data layout. The computer system determines an optimal data insertion point for inserting the additional portion of information based on the determined relative cardinalities between the data objects. The computer system also inserts the additional portion of information in the existing data layout at the determined optimal data insertion point.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: Embodiments are directed to determining a data insertion point in a data layout based on relative cardinalities between data objects and to determining a data insertion point in a data layout based on defined hierarchies between data objects. In an embodiment, a computer system receives a user input indicating that an additional portion of information is to be added to an existing data layout which includes multiple different data objects. The computer system accesses the data objects to determine relative cardinalities between the data objects in the data layout. The computer system determines an optimal data insertion point for inserting the additional portion of information based on the determined relative cardinalities between the data objects. The computer system also inserts the additional portion of information in the existing data layout at the determined optimal data insertion point.

Abstract: A computer output display system is provided. The system includes a layout component to determine one or more rendering rules that are applicable to a subset of display output controls. A format component communicates the rendering rules via a generic protocol that is employed by the subset of display output controls to render a display.

Abstract: A computer-implemented method for generating a report from a report definition specifying a plurality of data scopes for a dataset includes interpreting, with a processor, a report definition for the report, the report definition comprising a calculation expression for populating a unit of the report, the calculation expression comprising a data aggregation operation, the data aggregation operation comprising an originating reference to a further data scope, accessing a memory coupled to the processor to obtain data from the dataset for respective subsets of the dataset corresponding with the further data scope, determining, with the processor, an output value for the calculation expression in accordance with the obtained data and the data aggregation operation, and rendering the report based on the output value.

Abstract: Resizing and/or repositioning a target object related by containment to one or more related object laid out on a computer user interface. Original sizes and/or positions of the related objects to the target object resized and/or repositioned are stored. During the resize and/or reposition operation of the target object, an impact on a related object is calculated based upon a change from the stored original sizes and/or positions of the related object.