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    • 3. 发明授权
    • Query routing based on feature learning of data sources
    • 基于数据源特征学习的查询路由
    • US06886009B2
    • 2005-04-26
    • US10209112
    • 2002-07-31
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • G06F17/30
    • G06F17/30864Y10S707/99933
    • Query routing is based on identifying the preeminent search systems and data sources for each of a number of information domains. This involves assigning a weight to each search system or data source for each of the information domains. The greater the weight, the more preeminent a search system or data source is in a particular information domain. These weights Wi{1=0, 1,2, . . . N] are computed through a recursive learning process employing meta processing. The meta learning process involves simultaneous interrogation of multiple search systems to take advantage of the cross correlation between the search systems and data sources. In this way, assigning a weight to a search system takes into consideration results obtained about other search systems so that the assigned weights reflect the relative strengths of each of the systems or sources in a particular information domain. In the present process, a domain dataset used as an input to query generator. The query generator extracts keywords randomly from the domain dataset. Sets of the extracted keywords constitute a domain specific search query. The query is submitted to the multiple search systems or sources to be evaluated. Initially, a random average weight is assigned to each search system or source. Then, the meta learning process recursively evaluates the search results and feeds back a weight correction dWi to be applied to each system or source server by using weight difference calculator. After a certain number of iterations, the weights Wi reach stable values. These stable values are the values assigned to the search system under evaluation. When searches are performed, the weights are used to determine search systems or sources that are interrogated.
    • 查询路由是基于为多个信息域中的每一个标识优秀的搜索系统和数据源。 这涉及为每个信息域的每个搜索系统或数据源分配权重。 权重越大,搜索系统或数据源在特定信息域中越是优秀。 这些权重Wi {1 = 0,1,2,... 。 。 N]通过使用元处理的递归学习过程来计算。 元学习过程包括同时询问多个搜索系统,以利用搜索系统和数据源之间的互相关。 以这种方式,向搜索系统分配权重考虑了关于其他搜索系统获得的结果,使得分配的权重反映了特定信息域中的每个系统或源的相对强度。 在本过程中,用作查询生成器的输入的域数据集。 查询生成器从域数据集中随机提取关键字。 所提取的关键字的集合构成域特定的搜索查询。 该查询被提交给要评估的多个搜索系统或源。 最初,随机平均权重被分配给每个搜索系统或源。 然后,元学习处理递归地评估搜索结果,并且通过使用权重差计算器反馈要应用于每个系统或源服务器的权重校正dWi。 经过一定次数的迭代,重量Wi达到稳定值。 这些稳定值是分配给正在评估的搜索系统的值。 当执行搜索时,权重用于确定被询问的搜索系统或源。
    • 6. 发明申请
    • Method and Apparatus for Using Meta-Rules to Support Dynamic Rule-Based Business Systems
    • 使用元规则支持动态规则的业务系统的方法和装置
    • US20080177689A1
    • 2008-07-24
    • US12058071
    • 2008-03-28
    • Jun-Jang JengShubir KapoorDavid FlaxerHaifei Li
    • Jun-Jang JengShubir KapoorDavid FlaxerHaifei Li
    • G06N5/02
    • G06Q30/00G06Q10/06375
    • Meta-Rules are a special set of business rules whose purpose is to enable business rules selection and subsequent rule invocation by a business rules manager. Contained within a Meta-Rule are business policy and other information that enables the selection of a business rule used by a business application. Meta-rules allow the system to dynamically select and identify specific business rules to be executed within a given business application. By enabling a higher level of abstraction, and relying on rules to resolve specific business rule selection and invocations, Meta-rules further separate the binding of business knowledge and practice from application programming logic. The application programmer is freed from having specific knowledge of the business rule; all that is required is an assertion that a rule is to be used.
    • 元规则是一组特殊的业务规则,其目的是启用业务规则管理器进行业务规则选择和后续规则调用。 包含在元规则中的是业务策略和其他信息,可以选择业务应用程序使用的业务规则。 元规则允许系统动态地选择和识别在给定的业务应用程序中执行的特定业务规则。 通过实现更高级别的抽象,并依靠规则来解决特定的业务规则选择和调用,元规则进一步将业务知识和实践的绑定与应用程序编程逻辑分开。 应用程序员无需具体了解业务规则; 所有这一切都是要使用规则的断言。
    • 8. 发明申请
    • Method and apparatus for using meta-rules to support dynamic rule-based business systems
    • 使用元规则支持基于动态规则的业务系统的方法和设备
    • US20060009991A1
    • 2006-01-12
    • US10852421
    • 2004-05-25
    • Jun-Jang JengShubir KapoorDavid FlaxerHaifei Li
    • Jun-Jang JengShubir KapoorDavid FlaxerHaifei Li
    • G06Q99/00
    • G06Q30/00G06Q10/06375
    • Meta-Rules are a special set of business rules whose purpose is to enable business rules selection and subsequent rule invocation by a business rules manager. Contained within a Meta-Rule are business policy and other information that enables the selection of a business rule used by a business application. Meta-rules allow the system to dynamically select and identify specific business rules to be executed within a given business application. By enabling a higher level of abstraction, and relying on rules to resolve specific business rule selection and invocations, Meta-rules further separate the binding of business knowledge and practice from application programming logic. The application programmer is freed from having specific knowledge of the business rule; all that is required is an assertion that a rule is to be used.
    • 元规则是一组特殊的业务规则,其目的是启用业务规则管理器进行业务规则选择和后续规则调用。 包含在元规则中的是业务策略和其他信息,可以选择业务应用程序使用的业务规则。 元规则允许系统动态地选择和识别在给定的业务应用程序中执行的特定业务规则。 通过实现更高级别的抽象,并依靠规则来解决特定的业务规则选择和调用,元规则进一步将业务知识和实践的绑定与应用程序编程逻辑分开。 应用程序员无需具体了解业务规则; 所有这一切都是要使用规则的断言。
    • 10. 发明授权
    • Method and apparatus of on demand business activity management using business performance management loops
    • 使用业务绩效管理循环的按需业务活动管理的方法和装置
    • US08478633B2
    • 2013-07-02
    • US11944617
    • 2007-11-24
    • Hung-yang ChangShyh-Kwei ChenPawan ChowdharyJun-Jang JengLiangzhao Zeng
    • Hung-yang ChangShyh-Kwei ChenPawan ChowdharyJun-Jang JengLiangzhao Zeng
    • G06Q10/00
    • G06Q10/06G06Q10/06312G06Q10/06315G06Q10/06316G06Q10/0637G06Q10/06375G06Q10/103
    • An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop is defined as a set of nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time, where the beginning or sensing element of the loop is triggered by a token (representing a business event from a business process) and the ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle. On demand business activity management of larger aggregates of business entities (i.e. enterprises and value chains) is achieved by extending this architecture by building upon the BPM loops of the component entities to form a BPM net, adding nodes as necessary. This architecture, system and method can be implemented at multiple levels of granularity from operational or tactical business activities to enterprise wide strategic activities.
    • 提供了针对按需业务活动管理的承诺循环解决方案的架构,系统和方法。 业务绩效管理(BPM)循环被定义为一组节点,每个节点涉及不同的任务,用于处理由业务实体实时生成的性能管理触发数据,其中循环的开始或感测元素由令牌触发( 代表业务流程中的业务事件),并且结束或执行元素提供业务实体要实施的业务操作。 令牌以循环周围的特定顺序顺序从节点传递到节点。 由令牌表示的数据的处理由策略控制,可以动态更改并遵循生命周期。 业务实体(即企业和价值链)的大型业务活动管理通过扩展此体系结构,通过构建组件实体的BPM循环构建BPM网络,根据需要添加节点来实现。 这种架构,系统和方法可以从操作或战术业务活动到企业战略活动的多个级别实施。