Abstract: A graphical manipulation tool to create and/or make modifications to a graphical object suitable for visually representing data. The graphical manipulation tool analyzes the graphical object to determine parameters of visual characteristics of the graphical object that can be used to visually represent data. A computing system, through the graphical manipulation tool, may generate metadata that defines a capacity for visual characteristics to represent data. In some cases, a preview is displayed on a user interface indicating to a user how the metadata, if incorporated with the graphical object, may result in the visual characteristics of the graphical object being used to visually represent data. If incorporating the metadata with the graphical object is desirable, the user may provide to include the additional metadata with the graphical object.

Abstract: A pattern of visual interactivity may be automatically proposed for processing a data set that exhibits dimensions of variability. A visual display component may be analyzed to assess whether it is capable of receiving user input representing changes that correspond to types of changes of the identified dimensions of the data set. A suitable visual display component may be provided as a suggestion on a user interface for potentially using the visual display component to allow a user to interact with the data. In some embodiments, a visual display component includes a number of visual objects and/or visually interactive components for use within a graphical user interface. A visual display component may include one or more analytic patterns having at least one of an equation, rule, constraint, expression or combination thereof that represents the analytic pattern. Alternatively, a visual display component may involve a visual display representation of data through visual characteristics of a graphical object.

Abstract: Aspects discussed relate to creating a presentation of data through an arbitrary graphical object that has the capacity to visually represent data. Based on parameters of the visual characteristics and/or the data set, dimensions of data may be bound to appropriate visual characteristics of the graphical object to render a data visual of the dimensions of data through the graphical object. Visual characteristics and/or dimensions of data may additionally be subject to applied filters and/or constraints. When filters and/or constraints are applied resulting in any modification of the graphical object and/or dimensions of data, a subsequent data visual may be rendered. For some cases, a user interface may enable renderings of data visuals to occur dynamically upon modification of visual characteristics and/or dimensions of data.

Abstract: Aspects described relate to analyzing data at a high level of abstraction. “Smarts,” incorporating one or more analytic patterns, may be applied to data sources. These Smarts may be in the form of at least one of an equation, rule, constraint or expression to generate a result from applying the analytic pattern to the data. Smarts may be pre-defined and selected from a library based on user preference and the data input. Any suitable user interface may be used to apply analytic pattern(s) to items of data as well as provide a visual environment for a user to make intuitive adjustments to the data, add controls in the user interface to filter or constrain the data, or combinations thereof, resulting in one or more modified results.

Abstract: A system and method for offering suggestions to a user of a mobile computing device based on information relevant to the user and a context data. The mobile computing device has access to lists of data associated with the user. The mobile computing device also has a sensor for detecting data about the user's context. Based on the lists of information and the contextual data , the device generates a hypothesis as to information that may be of interest to the user. Using context data in conjunction with lists in this fashion focuses the system on information likely of interest, without requiring express user input. A search may be performed in accordance with the hypothesis. Based on the results of the search, one or more suggestions are then presented by the mobile computing device to the user. The user has the option to provide feedback input to the device resulting in an update of the suggestion.

Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.

Abstract: Systems and methods are described for use in higher-order-knowledge-based searching of content available from a network of data-storage devices. In various embodiments, at least one computational expression representative of a relational framework for content is identified and provided to an information retrieval system for use in searching for content desired by a user. The relational framework for content may include rules, expressions, equations, and/or constraints, which bind, relate, or associate certain content with other content. A computational expression may be determined from processing structured data. The structured data may be identified during crawling of a network or may be expressly provided to an extractor. Use of a computational expression by an information retrieval system may more efficiently and accurately return desired content to a user than is possible with traditional information searching methods.

Abstract: A data search and retrieval system that, in response to a search query, applies a model to search results to generate information to be returned to a user. A user may modify the model via a set of controls displayed to the user. The modified model may then be applied to search results to generate information in compliance with the modified model. Modified models may be stored locally on a client system or stored in the search system and made available to other users so that the modified models can be applied to subsequent requests for information. The modified models and the results of a search may be stored on a client machine such that, as the model is modified, new information may be generated based on the original search, reducing communication bandwidth, which can improve the speed and cost of providing user interaction with data in a mobile environment.

Abstract: A data search and retrieval system that, in response to a search query, dynamically selects and applies a model of information to be returned to a user. The model may be selected based on the search query directly, or indirectly based on data returned by a search engine applying the query. For this purpose, the system may include an index of models, similar to a search index. Models may include expressions that may be descriptions of computations, equations, constraints or rules to define information to be returned. These elements of a selected model may be executed within to the search stack based on data identified in a search of web pages by executing the query or other dynamically obtained data. Execution of a model may lead to collecting new information, such as through further searching or performing computations, or may result in ordering or other formatting of data.

Abstract: A data search and retrieval system that, in response to a search query, dynamically selects and applies a model of information to be returned to a user. The model may be selected based on the search query directly or indirectly based on data returned by a search engine applying the query. For this purpose, the system may include an index of models, similar to a search index. Models may be authored and contributed to the search and retrieval system by third parties, and an association between each such contributed model and characteristics of a search query, such as specific search query terms, may be stored in the index of models. A user of the search and retrieval system may provide feedback on a model that was used to generate information in response to the user's search query, and such feedback may be used to update the index of models.

Abstract: An application defined by expressions whose execution may be dynamically distributed over multiple devices. An application defined by expressions may include a number of expressions that provide a symbolic representation of computations to be performed. The application defined by expressions may have input variables and output variables and provide a solution for the output variables using the input variables and the expressions that define the application. In providing a solution for the output variables, an expression engine may determine dependencies for the expressions to be solved and distribute the solution of some of those expressions dynamically at runtime to other devices based on the capabilities of the devices, privacy and security concerns, communications bandwidth and latency, the resources available to devices, and commercial or cost implications of where the processing is done.

Abstract: A method for displaying complex relationships among data that includes selecting a first subset, a second subject, and a third subset of data from a database. Two or more relationships are identified among the first, second, and third subsets of data. One or more visualizations are provided that display the two or more relationships among the first, second, and third subsets of data.