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    • 3. 发明授权
    • Knowledge representation systems and methods incorporating customization
    • 包含定制的知识表示系统和方法
    • US09177248B2
    • 2015-11-03
    • US13609223
    • 2012-09-10
    • Peter Joseph SweeneyIhab Francis Ilyas
    • Peter Joseph SweeneyIhab Francis Ilyas
    • G06F7/00G06F17/30G06N5/02G06N5/00G06N7/00
    • G06N5/02G06F17/30684G06N5/00G06N7/005
    • Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including an elemental data structure and knowledge processing rules that are machine-readable. The elemental data structure may include a universal kernel and customized modules, which may represent knowledge that is generally applicable to a population and knowledge that is specifically applicable to individual data consumers, respectively. A method of constructing an elemental data structure may include analyzing first information to identify a first elemental component associated with a data consumer, and adding the first elemental component to a customized module corresponding to the data consumer. The method may also include analyzing second information to identify a second elemental component associated with a population, and adding the second elemental component to the universal kernel.
    • 用于分析和合成复杂知识表示(KR)的技术可以利用包括机器可读的元素数据结构和知识处理规则的原子知识表示模型。 元素数据结构可以包括通用内核和定制模块,其可以分别表示通常适用于群体的知识和专门适用于个人数据消费者的知识。 构成元数据结构的方法可以包括分析第一信息以识别与数据消费者相关联的第一元素组件,以及将第一元素组件添加到与数据消费者对应的定制模块中。 该方法还可以包括分析第二信息以识别与群体相关联的第二元素分量,以及将第二元素分量添加到通用内核。
    • 4. 发明授权
    • Systems and methods for analyzing and synthesizing complex knowledge representations
    • 用于分析和综合复杂知识表示的系统和方法
    • US09104779B2
    • 2015-08-11
    • US13165423
    • 2011-06-21
    • Anne Jude HuntAlexander David BlackPeter Joseph SweeneyIhab Francis Ilyas
    • Anne Jude HuntAlexander David BlackPeter Joseph SweeneyIhab Francis Ilyas
    • G06F17/30G06N5/02
    • G06N5/02G06F17/30914
    • Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with an input context. Multiple input complex KRs of various types may be analyzed and deconstructed to populate the elemental data structure, and input complex KRs may be transformed through the elemental data structure to output complex KRs of different types, providing semantic interoperability to KRs of different types and/or KR models.
    • 用于分析和合成复杂知识表示(KR)的技术可以利用原子知识表示模型,其包括存储为机器可读数据和/或编程指令的元数据结构和知识处理规则。 可以应用知识处理规则中的一个或多个来分析输入复合体KR以将其复杂概念和/或概念关系解构为要包括在基本数据结构中的元素概念和/或概念关系。 一个或多个知识处理规则可以被应用以根据输入上下文从存储的基本数据结构合成输出复合体KR。 可以对各种类型的多输入复合体KR进行分析和解构以填充元素数据结构,并且可以通过元素数据结构来转换输入复数KR,以输出不同类型的复合KR,为不同类型和/或不同类型的KR提供语义互操作性 KR型号。
    • 7. 发明申请
    • KNOWLEDGE REPRESENTATION SYSTEMS AND METHODS INCORPORATING INFERENCE RULES
    • 知识代表制度和方法纳入宣言规则
    • US20120166373A1
    • 2012-06-28
    • US13345644
    • 2012-01-06
    • Peter Joseph SweeneyIhab Francis IlyasWayne OldfordWu Zhou
    • Peter Joseph SweeneyIhab Francis IlyasWayne OldfordWu Zhou
    • G06F15/18G06N5/04
    • G06N5/02G06F17/30914G06N7/005
    • Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may rely on linguistic inference rules and/or elemental inference rules.
    • 用于分析和合成复杂知识表示(KR)的技术可以利用原子知识表示模型,其包括存储为机器可读数据和/或编程指令的元数据结构和知识处理规则。 可以应用知识处理规则中的一个或多个来分析输入复合体KR以将其复杂概念和/或概念关系解构为要包括在基本数据结构中的元素概念和/或概念关系。 知识处理规则中的一个或多个可以应用于根据上下文信息从所存储的基本数据结构合成输出复合体KR。 填充元素数据结构的方法和从元素数据结构合成复合KR的方法可以依赖于语言推理规则和/或元素推理规则。
    • 10. 发明授权
    • Methods and apparatus for providing information of interest to one or more users
    • 用于向一个或多个用户提供感兴趣的信息的方法和装置
    • US08676732B2
    • 2014-03-18
    • US13340820
    • 2011-12-30
    • Peter Joseph SweeneyIhab Francis IlyasJean-Paul DupuisNadiya Yampolska
    • Peter Joseph SweeneyIhab Francis IlyasJean-Paul DupuisNadiya Yampolska
    • G06N5/00
    • G06F17/30867
    • Methods and system of searching for content in a target set of content based on a reference set of content, a reference semantic network representing knowledge associated with the reference set of content, and a target semantic network representing knowledge associated with the target set of content. Techniques include receiving a user-specified search query, obtaining at least one concept semantically relevant to the user-specified search query by using the target semantic network and the reference semantic network, constructing a second query by augmenting the first search query with one or more terms associated with the at least one obtained concept; providing, to the at least one user, content associated with search results obtained based on searching the target set of content by using the second query, wherein any concept in the semantic network is represented by a data structure storing data associated with a node in the semantic network.
    • 基于内容的参考集合来搜索目标内容集合中的内容的方法和系统,表示与所述参考内容集相关联的知识的参考语义网络,以及表示与所述目标内容集合相关联的知识的目标语义网络。 技术包括接收用户指定的搜索查询,通过使用目标语义网络和参考语义网络来获得与用户指定的搜索查询语义相关的至少一个概念,通过用一个或多个来扩充第一搜索查询来构建第二查询 与所述至少一个获得的概念相关联的术语; 向所述至少一个用户提供与基于通过使用所述第二查询搜索所述目标内容集合获得的搜索结果相关联的内容,其中所述语义网络中的任何概念由存储与所述第二查询中的节点相关联的数据的数据结构来表示 语义网络