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    • 9. 发明申请
    • Method for composition of stream processing plans
    • 流处理计划的组成方法
    • US20070250331A1
    • 2007-10-25
    • US11397983
    • 2006-04-05
    • Zhen LiuAnton Riabov
    • Zhen LiuAnton Riabov
    • G06Q10/00G05B19/418
    • G06Q30/00G06Q10/00
    • A computer implemented method, apparatus, and computer usable program code for performing automatic planning in a compositional system. Parameter substitution is performed in response to receiving a planning language input. Actions are preprocessed in response to performing parameter substitution. A backward search is performed for potential solutions in response to preprocessing actions. A domain description is used for performing parameter substitution, preprocessing, and performing a backward search. Actions within the domain description have one or more inputs and one or more outputs. The planning language input specifies at least one goal and at least one action. A description of an action includes at least one description of action preconditions and at least one description of action effects. The action preconditions include predicates that must hold on input streams connected to the action in a valid workflow.
    • 一种用于在组合系统中执行自动计划的计算机实现的方法,装置和计算机可用程序代码。 响应于接收到规划语言输入而执行参数替换。 响应于执行参数替换,操作被预处理。 针对预处理动作的潜在解决方案执行反向搜索。 域描述用于执行参数替换,预处理和执行向后搜索。 域描述中的动作具有一个或多个输入和一个或多个输出。 规划语言输入指定至少一个目标和至少一个动作。 对动作的描述包括对动作前提的至少一个描述和动作效果的至少一个描述。 动作前提条件包括必须保持连接到有效工作流中的动作的输入流的谓词。
    • 10. 发明授权
    • Method for enhancing search and browsing in collaborative tagging systems through learned tag hierarchies
    • 通过学习的标签层次来增强协作标签系统中的搜索和浏览的方法
    • US08799294B2
    • 2014-08-05
    • US12120663
    • 2008-05-15
    • Eric BouilletZhen LiuAnand RanganathanAnton Riabov
    • Eric BouilletZhen LiuAnand RanganathanAnton Riabov
    • G06F7/00G06F17/30
    • G06F17/30884
    • A number of Web 2.0 sites support collaborative tagging systems, which allow users to tag resources with keywords. The tags enable search and retrieval of resources both for the user and for other users, using interfaces like a conventional search form or a tag cloud. A tag hierarchy-based search and retrieval system is provided that enhances the existing interfaces by improving search recall and allowing the discovery of even poorly annotated resources. The system uses tag co-occurrence information to automatically learn tag hierarchies. The learned hierarchies are used for automatically inferring additional tags to resources. These inferences are used to improve the recall of queries issued from a search form or via a tag cloud. The learned hierarchies can be viewed as an emergent ontology that is built up through the collaborative wisdom of a large number of users.
    • 许多Web 2.0站点支持协作标记系统,允许用户使用关键字标记资源。 这些标签能够使用诸如常规搜索形式或标签云的接口来搜索和检索用户和其他用户的资源。 提供了基于标签层次的搜索和检索系统,通过改进搜索回收并允许发现甚至注释不足的资源来增强现有的接口。 系统使用标签共现信息自动学习标签层次结构。 学习的层次结构用于自动推断资源的附加标签。 这些推论用于改进从搜索表单或通过标签云发出的查询的回调。 学习的层次结构可以被视为通过大量用户的协作智慧建立的紧急本体论。