Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for providing action objects in a semantic graph. IN some implementations, semantic graph data indicates a semantic graph of objects and relationships between the objects. The semantic graph data defines an action object that represents an action that can be initiated, and the semantic graph data indicates a particular object type or a particular data type with which the action object can be used. An object of a particular object type or data of the particular data type is identified as being involved in processing of the one or more computers. In response to identifying the use of the object of the particular object type or data of the particular data type, an indication is provided that the action represented by the action object can be initiated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for context-based customization using semantic graph data. In some implementations, semantic graph data indicating objects and relationships among the objects is stored. Usage data is generated to indicate (i) levels of usage of the objects and (ii) contexts in which the objects are used. A query is received that is associated with a user and that includes data indicating a context of the user. Customized weights for connections among the objects is determined based on (i) the levels of usage indicated by the usage data and (ii) scores indicating a degree of similarity among the contexts indicated by the usage data and the context of the user. A response to the query is provided based on the customized weights for the connections among the objects indicated by the semantic graph data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for providing information cards using semantic graph data. In some implementations, semantic graph data for a semantic graph is stored, where the semantic graph data indicates objects and relationships among the objects, and the objects include a card object that represents characteristics of an information card. A request is received from a client device, and the request is processed using the semantic graph data. Data for the information card is provided to the client device based on the card object indicated by the semantic graph data.

Abstract: Methods, systems, and apparatus, including computer programs stored on a computer storage medium, for providing a dynamic contextual library. In some implementations, an interactive element is provided for display in a user interface. Context data that indicates a context of one or more computers is generated. Document data indicating a subset of documents from a document collection associated with a user is obtained, with the subset of documents being selected from the document collection based on the context data. After obtaining the data indicating the subset of documents, data indicating user interaction with the interactive element is received. Data identifying the subset of documents for display is provided in response to receiving the data indicating user interaction with the interactive element.

Abstract: Methods, systems, apparatus, and computer-readable media for generating and presenting customized information cards. In some implementations, an indication of a data set is received. Data indicating a selection of an element of the data set is received. An indication of items in the data set that are associated with the selected element is received. Data is received indicating a selection of one or more of the items that are associated with the selected element of the data set. Card data defining an information card for the selected element of the data set is stored. The card definition data can indicate the selected one or more items and a reference to the data set.

Abstract: Methods, systems, and apparatus, including computer programs stored on computer-readable media, for inline and contextual delivery of content, which may include content selectively determined using private database content. In some implementations, interface data indicating text of a user interface of a electronic device is obtained. A particular term in the text of the user interface of the electronic device is determined to satisfy one or more criteria. Based on determining that the particular term satisfies the one or more criteria, the particular term is annotated to alter the appearance of the particular term in the user interface. After annotating the particular term, user interaction with the annotated term is detected and a card is provided for display in the user interface. The card can include information that corresponds to the term and that was determined using content from a private database for an organization of the user.

Abstract: Data records with one or more data objects are displayed according to layout rules on a computer user interface. The data objects associated with the record are identified, layout rules for the one or more data objects of the record are accessed and a layout is calculated based at least in part a uniqueness coefficient of the one or more data objects. The data objects are then displayed on the computer interface according to the determined layout.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: Data records with one or more data objects are displayed according to layout rules on a computer user interface. The data objects associated with the record are identified, layout rules for the one or more data objects of the record are accessed and a layout is calculated based at least in part a uniqueness coefficient of the one or more data objects. The data objects are then displayed on the computer interface according to the determined layout.

Abstract: A computer readable storage medium includes executable instructions to receive a relevancy parameter. The relevancy parameter is searched in a category ensemble including a set of categories, where the category ensemble overlies a dataset. A first order of the set of categories is created based on the relevancy of the relevancy parameter to each category in the set of categories, where the relevancy is a degree of match to the relevancy parameter. A second order of the set of categories is created based on the merit of each category to partition the dataset. The first order and the second order are combined into a final order, which is returned. A measure in the category ensemble is searched based on the relevancy parameter. The measure is returned as a selected measure, where the selected measure is a codomain of a visualization depicting a portion of the dataset.

Abstract: A computer readable medium stores executable instructions to deterministically construct a text question for application to a data source. The executable instructions include executable instructions supply a user with an initial text question. The user is allowed to alter a sentence component of the initial text question to form an altered sentence component. It is identified when the altered sentence component in combination with remaining sentence components creates a grammatically incorrect question. A grammatically correct text question including the altered sentence component is supplied in response to the executable instructions to identify. A data source query is constructed from the grammatically correct text question. The data source query is applied to a data source to produce data results. The data results are presented to the user.