Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture
    1.
    发明授权
    Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture 有权
    定义本体,消除消歧方法,计算机系统和制造品的方法

    公开(公告)号:US08036876B2

    公开(公告)日:2011-10-11

    申请号:US11267370

    申请日:2005-11-04

    IPC分类号: G06F17/28 G06F17/21

    CPC分类号: G06F17/2785 G06F17/30734

    摘要: Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture are described according to some aspects. In one aspect, a word disambiguation method includes accessing textual content to be disambiguated, wherein the textual content comprises a plurality of words individually comprising a plurality of word senses, for an individual word of the textual content, identifying one of the word senses of the word as indicative of the meaning of the word in the textual content, for the individual word, selecting one of a plurality of event classes of a lexical database ontology using the identified word sense of the individual word, and for the individual word, associating the selected one of the event classes with the textual content to provide disambiguation of a meaning of the individual word in the textual content.

    摘要翻译: 根据一些方面描述定义本体,消除消歧方法,计算机系统和制品的方法。 在一个方面,一种消除歧义的方法包括访问要消除歧义的文本内容,其中文本内容包括单独包含多个单词感觉的多个单词,对于文本内容的单个单词,识别文本内容的单词感觉 字表示文本内容中单词的含义,对于单词,使用所识别的单词的单词感觉选择词汇数据库本体的多个事件类中的一个,并且对于单个词,将单词相关联 选择具有文本内容的事件类之一,以提供对文本内容中单个词的含义的歧义。

    Processes, data structures, and apparatuses for representing knowledge
    2.
    发明授权
    Processes, data structures, and apparatuses for representing knowledge 有权
    用于表示知识的过程,数据结构和设备

    公开(公告)号:US08023739B2

    公开(公告)日:2011-09-20

    申请号:US11237483

    申请日:2005-09-27

    IPC分类号: G06K9/00 G06N5/02

    CPC分类号: G06N5/02

    摘要: Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

    摘要翻译: 公开了表示知识的过程,数据结构和装置。 这些过程可以包括根据本体中的概念在知识签名中标记元素并且用置信度值填充元素。 数据结构可以包括存储在计算机可读介质上的知识签名。 知识签名包括具有根据本体概念标注的元素的矩阵结构,其中元素的值表示概念存在于信息空间中的置信度。 该装置可以包括具有存储在计算机可读介质上的至少一个本体的知识表示单元,至少一个数据接收设备和经配置以通过将数据接收设备获得的数据集与本体对比来生成知识签名的处理器 。

    Data structures and apparatuses for representing knowledge
    3.
    发明授权
    Data structures and apparatuses for representing knowledge 有权
    用于表示知识的数据结构和设备

    公开(公告)号:US08655809B2

    公开(公告)日:2014-02-18

    申请号:US13187275

    申请日:2011-07-20

    IPC分类号: G06N5/00 G06F1/00

    CPC分类号: G06N5/02

    摘要: Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

    摘要翻译: 公开了表示知识的数据结构和装置。 这些过程可以包括根据本体中的概念在知识签名中标记元素并且用置信度值填充元素。 数据结构可以包括存储在计算机可读介质上的知识签名。 知识签名包括具有根据本体概念标注的元素的矩阵结构,其中元素的值表示概念存在于信息空间中的置信度。 该装置可以包括具有存储在计算机可读介质上的至少一个本体的知识表示单元,至少一个数据接收设备和经配置以通过将数据接收设备获得的数据集与本体对比来生成知识签名的处理器 。

    Data Structures and Apparatuses for Representing Knowledge
    4.
    发明申请
    Data Structures and Apparatuses for Representing Knowledge 有权
    用于表示知识的数据结构和设备

    公开(公告)号:US20110276524A1

    公开(公告)日:2011-11-10

    申请号:US13187275

    申请日:2011-07-20

    IPC分类号: G06F15/18

    CPC分类号: G06N5/02

    摘要: Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

    摘要翻译: 公开了表示知识的数据结构和装置。 这些过程可以包括根据本体中的概念在知识签名中标记元素并且用置信度值填充元素。 数据结构可以包括存储在计算机可读介质上的知识签名。 知识签名包括具有根据本体概念标注的元素的矩阵结构,其中元素的值表示概念存在于信息空间中的置信度。 该装置可以包括具有存储在计算机可读介质上的至少一个本体的知识表示单元,至少一个数据接收设备和经配置以通过将数据接收设备获得的数据集与本体对比来生成知识签名的处理器 。

    Knowledge discovery system capable of custom configuration by multiple users
    5.
    发明申请
    Knowledge discovery system capable of custom configuration by multiple users 审中-公开
    知识发现系统能够由多个用户自定义配置

    公开(公告)号:US20090254581A1

    公开(公告)日:2009-10-08

    申请号:US12080753

    申请日:2008-04-04

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F16/355

    摘要: An automated method for allowing multiple users to independently analyze a corpus of digital information having discrete elements by providing two or more users access to one or more initial training source of digital information, allowing the users to each define a set of categories, automatically generating a group of digital features associated with at least two of the discrete elements, automatically associating a subset of the discrete elements with at least one of the categories, and automatically determining at least one combination of features and transformed features that identifies at least one of the categories. The automated method allows said two or more users to have the capability to perform the step of defining a set of categories, such that the automated steps of generating a group of digital features, associating a subset of said discrete elements, and determining at least one combination of features and transformed features is in whole or in part determined by the manual input to the automated method.

    摘要翻译: 一种自动化方法,用于允许多个用户通过提供两个或多个用户访问数字信息的一个或多个初始训练源来独立地分析具有离散元素的数字信息语料库,从而允许用户各自定义一组类别,自动生成 与至少两个离散元件相关联的数字特征组自动地将离散元素的子集与至少一个类别相关联,并且自动地确定特征和变换特征的至少一个组合,所述特征和变换特征的标识至少一个类别 。 所述自动化方法允许所述两个或更多个用户具有执行定义一组类别的步骤的能力,使得产生一组数字特征的自动化步骤,将所述离散元素的子集相关联,并且确定至少一个 特征和变换特征的组合全部或部分由自动化方法的手动输入决定。