KNOWLEDGE CORRELATION SEARCH ENGINE
    22.
    发明申请
    KNOWLEDGE CORRELATION SEARCH ENGINE 有权
    知识相关搜索引擎

    公开(公告)号:US20120150835A1

    公开(公告)日:2012-06-14

    申请号:US13400829

    申请日:2012-02-21

    IPC分类号: G06F17/30

    摘要: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.

    摘要翻译: 改进的搜索引擎创建将来自用户提供的输入项的术语与选定的目标术语相关联的关联。 相关搜索过程从用户接收预处理的输入,包括各种各样的输入格式,包括关键字,短语,句子,概念,复合查询,复杂查询和正交查询。 预处理还包括一般数字信息对象的预处理和静态或动态生成问题。 在通过预处理呈现的信息的相关搜索之后,以新颖的方式处理搜索结果以提供改进的结果的相关性排名。

    Knowledge Correlation Search Engine
    23.
    发明申请
    Knowledge Correlation Search Engine 有权
    知识相关搜索引擎

    公开(公告)号:US20070005566A1

    公开(公告)日:2007-01-04

    申请号:US11426932

    申请日:2006-06-27

    IPC分类号: G06F17/30

    摘要: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.

    摘要翻译: 改进的搜索引擎创建将来自用户提供的输入项的术语与选定的目标术语相关联的关联。 相关搜索过程从用户接收预处理的输入,包括各种各样的输入格式,包括关键字,短语,句子,概念,复合查询,复杂查询和正交查询。 预处理还包括一般数字信息对象的预处理和静态或动态生成问题。 在通过预处理呈现的信息的相关搜索之后,以新颖的方式处理搜索结果以提供改进的结果的相关性排名。

    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms
    24.
    发明申请
    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms 有权
    通过使用概念或术语构建知识相关性来进行知识发现的技术

    公开(公告)号:US20060167931A1

    公开(公告)日:2006-07-27

    申请号:US11314835

    申请日:2005-12-21

    IPC分类号: G06F7/00

    摘要: Techniques for identifying knowledge use a graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge using information about relation types. Information about relations types is determined using a relation classifier.

    摘要翻译: 用于识别知识的技术使用图形用户界面来输入一个或多个要被探索以用于附加知识的术语。 然后,跨越一个或多个信息来源进行搜索以识别包含与所述术语相关联的信息或信息的资源。 资源被分解为元素的信息单元并存储在称为节点的数据结构中。 一组节点存储在节点池中,并且从节点池中,使用关于关系类型的信息来构建代表知识的节点的相关性。 关系类型的信息使用关系分类器确定。

    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms
    25.
    发明授权
    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms 有权
    通过使用概念或术语构建知识相关性来进行知识发现的技术

    公开(公告)号:US09311601B2

    公开(公告)日:2016-04-12

    申请号:US13325368

    申请日:2011-12-14

    IPC分类号: G06F17/30 G06N5/02 G06F17/27

    摘要: Techniques for identifying knowledge use an graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge.

    摘要翻译: 用于识别知识的技术使用图形用户界面来输入一个或多个待探索的术语以用于附加知识。 然后,跨越一个或多个信息来源进行搜索以识别包含与所述术语相关联的信息或信息的资源。 资源被分解为元素的信息单元并存储在称为节点的数据结构中。 一组节点存储在节点池中,并且从节点池中构建表示知识的节点的相关性。

    Method for ranking resources using node pool
    26.
    发明授权
    Method for ranking resources using node pool 有权
    使用节点池对资源进行排序的方法

    公开(公告)号:US08898134B2

    公开(公告)日:2014-11-25

    申请号:US13400829

    申请日:2012-02-21

    IPC分类号: G06F17/30 G06N5/02 G06F17/27

    摘要: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.

    摘要翻译: 改进的搜索引擎创建将来自用户提供的输入项的术语与选定的目标术语相关联的关联。 相关搜索过程从用户接收预处理的输入,包括各种各样的输入格式,包括关键字,短语,句子,概念,复合查询,复杂查询和正交查询。 预处理还包括一般数字信息对象的预处理和静态或动态生成问题。 在通过预处理呈现的信息的相关搜索之后,以新颖的方式处理搜索结果以提供改进的结果的相关性排名。

    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms
    27.
    发明授权
    Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms 有权
    通过使用概念或术语构建知识相关性来进行知识发现的技术

    公开(公告)号:US08126890B2

    公开(公告)日:2012-02-28

    申请号:US11314835

    申请日:2005-12-21

    IPC分类号: G06F17/00

    摘要: Techniques for identifying knowledge use a graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge using information about relation types. Information about relations types is determined using a relation classifier.

    摘要翻译: 用于识别知识的技术使用图形用户界面来输入一个或多个要被探索以用于附加知识的术语。 然后,跨越一个或多个信息来源进行搜索以识别包含与所述术语相关联的信息或信息的资源。 资源被分解为元素的信息单元并存储在称为节点的数据结构中。 一组节点存储在节点池中,并且从节点池中,使用关于关系类型的信息来构建代表知识的节点的相关性。 关系类型的信息使用关系分类器确定。

    Techniques for creating computer generated notes
    28.
    发明授权
    Techniques for creating computer generated notes 有权
    创建计算机生成的笔记的技术

    公开(公告)号:US08024653B2

    公开(公告)日:2011-09-20

    申请号:US11761839

    申请日:2007-06-12

    IPC分类号: G06F15/00

    摘要: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.

    摘要翻译: 提取文本和信息资源,如文档,电子邮件,关系数据库表和其他数字化信息源。 提取的文本使用分解函数进行处理。 节点是存储元素信息单元的特定数据结构。 节点可以传达意义,因为它们将主题术语或短语与属性术语或短语相关联。 从节点数据结构中移除节点内容是或可以成为传达意义的文本片段,即音符。 从每个数字资源生成的音符与被捕获的数字资源相关联。 然后,这些笔记以便于用户获取和利用知识的几种方式存储,组织和呈现。