Abstract: A method facilitates development of instructions in a precise syntax, such as software source code or built-in functions of a computational system, using natural language (NL) input. A user may enter NL input in a workspace. An NL processing system may process the NL input to generate instruction(s) in a precise syntax that corresponds to the NL input. The instruction(s) in the precise syntax then may be included in the workspace.

Abstract: Content data items in a first electronic file that correspond to entities in a database comprising categorized entities are identified. Modified content data items of a second electronic file are generated, the modified content data items indicating how the content data items are to be interpreted by a natural language query answering system. Information in the second electronic file indicating how the content data items are to be interpreted by the natural language query answering system are modified in response to user input. The second electronic file is used by the natural language query answering system to facilitate analysis of a natural language query regarding content in the first electronic file. Results of the analysis using the natural language query answering system are output.

Abstract: User input in an imprecise syntax (e.g., expressed using natural language and/or informal terminology) is received, the user input including a query requesting information determinable by a formula and one or more indications of parameter values corresponding to the formula. The user input is analyzed to determine the formula with the one or more parameter values integrated into the formula. An answer to the query is calculated using the determined formula, and electronic display information is generated that, when displayed by a display device, renders an indication of the answer.

Abstract: First specification data defining a grammar corresponding to natural language, and second specification data defining a mapping between the grammar and one or more outputs to be generated, are received. An electronic object is generated using the first specification data and the second specification data, the electronic object being configured to, when executed by one or more processors, cause the one or more processors to map received natural language input to the one or more outputs. The one or more outputs may be used to control an electronically controllable machine.

Abstract: A system receives one or more messages corresponding to a request to add data to an electronic storage object that is accessible on a network, the one or more messages corresponding to the electronic storage object to which data is to be stored, and including raw data corresponding to the data that is to be stored. Responsive to the one or more messages, the system: locates the electronic storage object in a database, identifies data conversion metadata in the electronic storage object that indicates how the raw data is to be converted to formatted data in a format that is recognized by a computational application, uses the data conversion metadata to convert the raw data to the formatted data in the format recognized by the computational application, and stores the formatted data to the electronic storage object in the database.

Abstract: A programmer input in a programming language is received, where the programmer input includes i) a built-in function of a computational application corresponding to retrieving data from electronic storage objects, and ii) a first parameter specifying the electronic storage object from which data is to be retrieved. The computational application evaluates the programmer input to generate one or more messages corresponding to requests for a server to retrieve data from the electronic storage object. The one or more messages are sent to the server to retrieve data from the electronic storage object. Data retrieved from the electronic storage object by the server is received, and the retrieved data is made available in a document for processing by the computational application, where the retrieved data is in a format recognized by the computational application.

Abstract: In a method for generating an electronic form, programmer input in a programming language is received, the programmer input including specification data corresponding to an electronic form to be generated. The programmer input is evaluated to generate an electronic form object that includes one or more user-interface mechanisms for receiving the user input, including evaluating the specification data to generate code in the electronic form object, the generated code capable of being processed by an application to render the electronic form on or via a user interface device such that the electronic form serially prompts the user over time for multiple user inputs. The electronic form object is stored in a memory of or communicatively coupled to the one or more computers.

Abstract: A natural language query answering system includes an external data pre-processor configured to i) analyze a first data set, the first data set received via a communication network, to identify data in the first data set that corresponds to entities in a database comprising categorized entities, and ii) generate a second data set corresponding to the first data set and based on the analysis of the first data set, wherein the second data set includes information indicating how data in the second data set is to be interpreted by the natural language query answering system. The natural language query answering system is configured to retrieve data and/or process data from the second data set in response to natural language queries.

Abstract: Programmer input in a programming language is received, the programmer input including i) specification data corresponding to an electronic form to be generated, and ii) a parameter that indicates a function to be applied to user input. The programmer input is evaluated to generate an electronic form object that includes one or more user-interface mechanisms for receiving the user input, wherein evaluating the programmer input includes evaluating the specification data and/or the parameter that indicates the function to generate code in the electronic form object which is capable of being processed by an application to render the electronic form. The electronic form object is generated such that the electronic form object is configured to apply, upon being processed by the application, the function to the user input received via the one or more user-interface mechanisms.

Abstract: Programmer input in a programming language is received, the programmer input including i) first specification data specifying one or more parameters to be passed to an application programming interface (API), and ii) second specification data that specifies a function to be performed by the API. The programmer input is evaluated to generate an API object that is configured, when executed, to perform the specified function using the one or more parameters. Evaluating the programmer input includes evaluating the first specification data to generate the API object such that the API object is configured to receive the one or more parameters.

Abstract: Programmer input in a programming language in received, where the programmer input defines a behavior of an executable electronic object. One or more computers generate the executable electronic object according to the programmer input. An electronic message corresponding to invoking the executable electronic object is received, and in response to receiving the electronic message, the executable electronic object is invoked by one or more computers.

Abstract: In a method for determining an answer to a query expressed in an imprecise syntax, a formula for computing an answer to the query is determined. An answer is calculated using the formula, and the answer is then presented to the user.

Abstract: A system receives first requests to create electronic storage objects that are accessible on the communication network or another communication network, and creates electronic storage objects responsive to the first requests. The first requests specify one or more data types to which the system should convert raw data received for storage in the electronic storage objects. The system also receives second requests to store specified data to the electronic storage objects, and stores received raw data (or converts the raw data to specified data types and stores the converted data) to the electronic storage objects responsive to the second requests. The system further receives third requests to retrieve data from specified electronic storage objects, and retrieves data from the specified electronic storage objects responsive to the third requests, the retrieved data being in specified data types.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyses may also be evaluated for compatibility with the data set. Compatible analyses may be performed on the data set, and selected views of the results may be presented. Selection of the analyses to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyses, evaluation of the compatibility between various analyses and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyses may include visualizations and heavyweight computational analyses.

Abstract: In a method for cloud deployment, programmer input in a programming language is received, the programmer input including i) a built-in function corresponding to making electronic objects accessible on a network, and ii) a parameter indicating an electronic object. The programmer input is evaluated to cause the electronic object to be stored on a server and made accessible via a network coupled to the server.

Abstract: Natural language (NL) processing of NL commands is performed to determine one or more of (i) content to be included in a hypertext document, (ii) a layout for the hypertext document, or (iii) parameters corresponding to behavior of the hypertext document. Performing the NL processing includes: determining assumptions concerning one or both of (a) ambiguities associated with the NL commands or (b) information necessary for creating the hypertext document not specified by the NL commands. The assumptions correspond to the one or more of (i) content to be included in the hypertext document, (ii) the layout for the hypertext document, or (iii) the parameters corresponding to behavior of the hypertext document. Hypertext document code or data for displaying the hypertext document is generated based on the NL processing of the NL commands including the determined assumptions.

Abstract: A system and method facilitate the use of a multi-function computer for an examination. An application implementing the method receives a hash input from a user and, upon successful completion of the examination, displays a hash output. The hash output may be displayed as a visual hash. During the examination, the application or system monitors the multi-function computer to determine whether the user has activated, viewed, or launched any prohibited functions or applications on the multi-function computer. If the user views a prohibited function or application, the examination application does not display the hash output. The system and application implement various security measures to prevent spoofing or duplication of the hash output or tampering with the application.

Abstract: A subset of graphical display items, in a set of graphical display items stored in the one or more electronic storage devices, that have not previously been viewed by a user is determined. A graphical display item is selected from a subset of graphical display items. The graphical display item may be selected according to an order, or selected randomly. An initial display item and the selected graphical display item are electronically transmitted to a user computing device. The initial display item and the selected graphical display item are configured such that the selected graphical display item is displayed on a display device of the user computing device in response to the user selecting the initial display item when the initial display item is displayed on the display device.

Abstract: Positioning pads are displayed via a display device to facilitate movement of a position of interest (e.g., as indicated by a cursor) with respect to a structured object also displayed via the display device. The structured object is analyzed to determine predicted locations to which a user may subsequently wish to navigate the position of interest, and positioning pads are displayed at, or associated with, the predicted locations. When activation of a positioning pad is detected, (i) the position of interest is moved to the location of, or associated with, the positioning pad, and (ii) the positioning pad is no longer displayed via the display device.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyzes may also be evaluated for compatibility with the data set. Compatible analyzes may be performed on the data set, and selected views of the results may be presented. Selection of the analyzes to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyzes, evaluation of the compatibility between various analyzes and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyzes may include visualizations and heavyweight computational analyzes.