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    • 3. 发明授权
    • Method and system for message-oriented semantic web service composition based on artificial intelligence planning
    • 基于人工智能规划的面向消息的语义Web服务组合方法与系统
    • US08117233B2
    • 2012-02-14
    • US11748216
    • 2007-05-14
    • Zhen LiuAnand RanganathanAnton V. Riabov
    • Zhen LiuAnand RanganathanAnton V. Riabov
    • G06F7/00
    • G06Q10/10
    • A method for modeling a web service operation, includes: defining an input message pattern that describes input requirements of a web service operation, wherein the input message pattern includes a set of variables representing data elements that must be contained in a message input to the web service operation, and a graph pattern that semantically describes the data elements that must be contained in the message input to the web service operation; and defining an output message pattern that describes an output message of the web service operation, wherein the output message pattern includes a set of variables and exemplars that represent data elements contained in the output message, and a graph pattern that semantically describes the data elements contained in the output message.
    • 一种用于建模Web服务操作的方法,包括:定义描述web服务操作的输入要求的输入消息模式,其中所述输入消息模式包括一组变量,所述变量表示必须包含在输入到web的消息中的数据元素 服务操作和语义上描述必须包含在输入到Web服务操作的消息中的数据元素的图形模式; 以及定义描述所述web服务操作的输出消息的输出消息模式,其中所述输出消息模式包括表示所述输出消息中包含的数据元素的一组变量和示例,以及语义上描述包含的数据元素的图形模式 在输出消息中。
    • 4. 发明授权
    • Method for semantic modeling of stream processing components to enable automatic application composition
    • 流处理组件的语义建模方法,以实现自动应用组合
    • US08098248B2
    • 2012-01-17
    • US11695457
    • 2007-04-02
    • Mark D. FeblowitzZhen LiuAnand RanganathanAnton V. Riabov
    • Mark D. FeblowitzZhen LiuAnand RanganathanAnton V. Riabov
    • G06T11/20
    • G06F17/30516
    • A method for modeling components of a stream processing application, includes: defining an input message pattern of a processing element, wherein the input message pattern includes variables representing data objects that must be included in a message input to the processing element, and a graph pattern that semantically describes the data objects that must be included in the message input to the processing element; and defining an output message pattern of the processing element, wherein the output message pattern includes variables and new data objects, the variables and new data objects representing data objects that must be included in a message output from the processing element, and a graph pattern that semantically describes the data objects in the message output from the processing element.
    • 一种用于对流处理应用的组件进行建模的方法,包括:定义处理元件的输入消息模式,其中输入消息模式包括表示必须包括在输入到处理元件的消息中的数据对象的变量,以及图形模式 语义上描述必须包括在输入到处理元件的消息中的数据对象; 并且定义所述处理元件的输出消息模式,其中所述输出消息模式包括变量和新数据对象,所述变量和新数据对象表示必须包括在从所述处理元件输出的消息中的数据对象,以及图形模式, 语义上描述从处理元素输出的消息中的数据对象。
    • 7. 发明授权
    • Hybrid machine/human computing arrangement
    • 混合机/人机运算布置
    • US07801756B1
    • 2010-09-21
    • US11618385
    • 2006-12-29
    • Venky HarinarayanAnand RajaramanAnand Ranganathan
    • Venky HarinarayanAnand RajaramanAnand Ranganathan
    • G06F9/46G06F11/34
    • G10L15/22G06Q10/063112G06Q10/10
    • A hybrid machine/human computing arrangement which advantageously involves humans to assist a computer to solve particular tasks, allowing the computer to solve the tasks more efficiently. In one embodiment, a computer system decomposes a task, such as, for example, image or speech comparison, into subtasks for human performance, and requests the performances. The computer system programmatically conveys the request to a central coordinating server of the hybrid machine/human computing arrangement, which in turn dispatches the subtasks to personal computers operated by the humans. The humans perform the subtasks and provide the results back to the server, which receives the responses, and generates a result for the task based at least in part on the results of the human performances.
    • 一种混合机/人机计算装置,其有利地涉及人帮助计算机解决特定任务,从而允许计算机更有效地解决任务。 在一个实施例中,计算机系统将任务(例如,图像或语音比较)分解成用于人类表演的子任务,并请求演奏。 计算机系统以编程方式将该请求传送到混合机/人机计算装置的中央协调服务器,该混合机/人机计算装置又将该子任务分配给由人操作的个人计算机。 人类执行子任务并将结果提供给服务器,服务器接收响应,并至少部分地基于人类表演的结果为任务生成结果。