Abstract: A method and system are provided for interactive data visualization. The method includes dynamically determining, responsive to a user request directed to at least one of default categories identified by analyzing a data source used with an initial user query, pre-set values for categorical portions and numerical portions of vocabularies for user selection using data analytics on the data source. The method also includes providing the user with a capability to specify other values for the portions. The method additionally includes dynamically generating multiple sub-queries to the data source for the pre-set values and at least one of the other values specified by the user for the portions. The method further includes generating a data visualization of combined result sets for the multiple sub-queries and displaying the data visualization.

Abstract: One or more processors generate a data source table. The data source table is specific for a particular constrained natural language (cNL) vocabulary term from a cNL vocabulary dictionary. The data source table includes a location reference to multiple predetermined data sources that contain data related to the particular cNL vocabulary term, where at least two of the multiple predetermined data sources are disparate types of data sources as compared to each other. The data source table also includes a location reference to a materialized view of data from each of the multiple data sources, where the materialized view of data is data that is related to the particular cNL vocabulary term. One or more processors receive a request for data related to the particular cNL vocabulary term from a requester, and then retrieve data from multiple materialized views from the data source table to the requester.

Abstract: One or more processors generate a data source table. The data source table is specific for a particular constrained natural language (cNL) vocabulary term from a cNL vocabulary dictionary. The data source table includes a location reference to multiple predetermined data sources that contain data related to the particular cNL vocabulary term, where at least two of the multiple predetermined data sources are disparate types of data sources as compared to each other. The data source table also includes a location reference to a materialized view of data from each of the multiple data sources, where the materialized view of data is data that is related to the particular cNL vocabulary term. One or more processors receive a request for data related to the particular cNL vocabulary term from a requester, and then retrieve data from multiple materialized views from the data source table to the requester.

Abstract: A method and system are provided for interactive data visualization. The method includes dynamically determining, responsive to a user request directed to at least one of default categories identified by analyzing a data source used with an initial user query, pre-set values for categorical portions and numerical portions of vocabularies for user selection using data analytics on the data source. The method also includes providing the user with a capability to specify other values for the portions. The method additionally includes dynamically generating multiple sub-queries to the data source for the pre-set values and at least one of the other values specified by the user for the portions. The method further includes generating a data visualization of combined result sets for the multiple sub-queries and displaying the data visualization.

Abstract: A method and system are provided for interactive data visualization. The method includes analyzing a data source used with an initial query to identify a set of default categories available for user selection. The method further includes dynamically determining pre-set values for categorical portions and numerical portions of vocabularies for user selection using data analytics on the data source. The method also includes providing the user with a capability to specify other values for the portions. The method additionally includes dynamically generating multiple sub-queries to the data source for the values for the portions, wherein at least one of the multiple sub-queries is dynamically generated for at least one of the other values specified by the user. The method further includes combining result sets for the multiple sub-queries. The method also includes generating a data visualization of the combined result sets and displaying the data visualization.

Abstract: A method and system are provided for interactive data visualization. The method includes analyzing a data source used with an initial query to identify a set of default categories available for user selection. The method further includes dynamically determining pre-set values for categorical portions and numerical portions of vocabularies for user selection using data analytics on the data source. The method also includes providing the user with a capability to specify other values for the portions. The method additionally includes dynamically generating multiple sub-queries to the data source for the values for the portions, wherein at least one of the multiple sub-queries is dynamically generated for at least one of the other values specified by the user. The method further includes combining result sets for the multiple sub-queries. The method also includes generating a data visualization of the combined result sets and displaying the data visualization.

Abstract: Techniques are described for a real-time visualization of data in an integrated authoring environment. In one example, a method includes receiving text information. The method also includes comparing the dynamically entered text information against a data source, wherein the comparing comprises applying natural language processing (NLP) to determine one or more assertion statements in the text information that references data from the data source. The method also includes retrieving the referenced data associated with the one or more assertion statements from the data source. The method further includes generating a visual representation of the referenced data associated with the one or more assertion statements. The method also includes displaying the visual representation, wherein the visual representation is integrated with an authoring interface.

Abstract: One or more processors generate a data source table. The data source table is specific for a particular constrained natural language (cNL) vocabulary term from a cNL vocabulary dictionary. The data source table includes a location reference to multiple predetermined data sources that contain data related to the particular cNL vocabulary term, where at least two of the multiple predetermined data sources are disparate types of data sources as compared to each other. The data source table also includes a location reference to a materialized view of data from each of the multiple data sources, where the materialized view of data is data that is related to the particular cNL vocabulary term. One or more processors receive a request for data related to the particular cNL vocabulary term from a requester, and then retrieve data from multiple materialized views from the data source table to the requester.

Abstract: One or more processors generate a data source table. The data source table is specific for a particular constrained natural language (cNL) vocabulary term from a cNL vocabulary dictionary. The data source table includes a location reference to multiple predetermined data sources that contain data related to the particular cNL vocabulary term, where at least two of the multiple predetermined data sources are disparate types of data sources as compared to each other. The data source table also includes a location reference to a materialized view of data from each of the multiple data sources, where the materialized view of data is data that is related to the particular cNL vocabulary term. One or more processors receive a request for data related to the particular cNL vocabulary term from a requester, and then retrieve data from multiple materialized views from the data source table to the requester.