20203results about "Interprogram communication" patented technology

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

A method for making a hypermedium page interactive, the hypermedium page displayed by a network browser, includes the step of selecting a hyperlink on the hypermedium page displayed on a client machine, the hyperlink identifying a desired computing resource. A hyperlink configuration file is retrieved, the hyperlink configuration file corresponding to the hyperlink and identifying a server machine. A client agent is started on the client machine. The client agent creates, via a terminal services session, a communication link to a virtual machine executing on the server identified by the hyperlink configuration file, the virtual machine executed by a hypervisor executing in the terminal services session provided by an operating system executing on the server. The client agent receives data from the virtual machine and displays, on the client machine, the received data without intervention by the network browser.

A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware maps, applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conveys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.

The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

A data acquisition and delivery system for performing data delivery tasks is disclosed. This system uses a computer running software to acquire source data from a selected data source, to process (e.g. filter, format convert) the data, if desired, and to deliver the resulting delivered data to a data target. The system is designed to access remote and/or local data sources and to deliver data to remote and/or local data targets. The data target might be an application program that delivers the data to a file or the data target may simply be a file, for example. To obtain the delivered data, the software performs processing of the source data as appropriate for the particular type of data being retrieved, for the particular data target and as specified by a user, for example. The system can communicate directly with a target application program, telling the target application to place the delivered data in a particular location in a particular file. The system provides an external interface to an external context. If the external context is a human, the external interface may be a graphical user interface, for example. If the external context is another software application, the external interface may be an OLE interface, for example. Using the external interface, the external context is able to vary a variety of parameters to define data delivery tasks as desired. The system uses a unique notation that includes a plurality of predefined parameters to define the data delivery tasks and to communicate them to the software.

A method for providing access to a computing environment includes the step of receiving a request from a client system for an enumeration of available computing environments. Collected data regarding available computing environments are accessed. Accessed data are transmitted to a client system, the accessed data indicating to the client system each computing environment available to a user of the client system. A request is received from the client system to access one of the computing environments. A connection is established between the client system and a virtual machine hosting the requested computing environment.

A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

A method for controlling the interoperation of a plurality of software applications and resources includes intercepting communications from a first application to a second application or resource, directing the communication to a context management system, generating a candidate list of contexts for the communication, evaluating the candidate list according to at least one policy defined for these contexts to identify the resultant action and namespace for the communication, and performing the action as defined by the policies within the identified namespace. The method further includes tracking one or more versions of the second application, as well as tracking an evolution of application and/or resource names. The method further includes identifying one or more operations associated with a context on the candidate list, and executing the identified operations prior to a further communication.

A system enabling service communications in distributed Web applications between servers otherwise inaccessible due to cross-origin security restrictions in pre-HTML5 compliant Web-browser clients. A Web-browser client executes a client-side Web application received from a source origin server having a defined source origin and requests connections to request identified Web-application services. Execution of an emulation client library establishes a bidirectional capable HTTP-based communications connection between the Web-browser client and a gateway server, having a target origin outside the scope of the source origin, providing access to the request identified Web-application service. The bidirectional capable HTTP-based communications connection includes a cross-origin communications bridge providing a secure communications path between the source and target origins. The gateway server can establish an HTML5 compliant connection to a target defined service, provided by a target server, having a predefined relation to the request identified Web-application service.

A method for enabling intelligence at the edge. Features include: triggering by sensor data in a software layer hosted on either a gateway device or an embedded system. Software layer is connected to a local-area network. A repository of services, applications, and data processing engines is made accessible by the software layer. Matching the sensor data with semantic descriptions of occurrence of specific conditions through an expression language made available by the software layer. Automatic discovery of pattern events by continuously executing expressions. Intelligently composing services and applications across the gateway device and embedded systems across the network managed by the software layer for chaining applications and analytics expressions. Optimizing the layout of the applications and analytics based on resource availability. Monitoring the health of the software layer. Storing of raw sensor data or results of expressions in a local time-series database or cloud storage. Services and components can be containerized to ensure smooth running in any gateway environment.

A system includes a server information processing apparatus having a server function to provide a shared display screen to another information processing apparatus, and a client information processing apparatus having a client function to become a client of the server function, wherein the server function includes a virtual display screen generating unit configured to generate a virtual display screen for accommodating the shared display screen, and a shared display screen acquiring unit configured to acquires image data of at least a portion of the shared display screen displayed on the virtual display screen, and wherein the client function includes a shared display screen receiving unit configured to receive the image data from the server function, and a shared display screen displaying unit configured to display at least a portion of the shared display screen on a shared display screen presenting area in response to the received image data.

A method and apparatus for providing plug-in media decoders. Embodiments provide a "plug-in" decoder architecture that allows software decoders to be transparently downloaded, along with media data. User applications are able to support new media types as long as the corresponding plug-in decoder is available with the media data. Persistent storage requirements are decreased because the downloaded decoder is transient, existing in application memory for the duration of execution of the user application. The architecture also supports use of plug-in decoders already installed in the user computer. One embodiment is implemented with object-based class files executed in a virtual machine to form a media application. A media data type is determined from incoming media data, and used to generate a class name for a corresponding codec (coder-decoder) object. A class path vector is searched, including the source location of the incoming media data, to determine the location of the codec class file for the given class name. When the desired codec class file is located, the virtual machine's class loader loads the class file for integration into the media application. If the codec class file is located across the network at the source location of the media data, the class loader downloads the codec class file from the network. Once the class file is loaded into the virtual machine, an instance of the codec class is created within the media application to decode/decompress the media data as appropriate for the media data type.