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1. 发明申请

US20200065344A1 KNOWLEDGE CORRELATION SEARCH ENGINE 审中-公开
公开(公告)号：US20200065344A1
公开(公告)日：2020-02-27
申请号：US16667474
申请日：2019-10-29
申请人： MAKE SENCE, INC.
发明人： MARK BOBICK , CARL WIMMER
IPC分类号： G06F16/9535 , G06F16/33 , G06F16/951 , G06F16/954 , G06F16/2457 , G06F17/27 , G06N5/02
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.

2. 发明授权

US10496722B2 Knowledge correlation search engine 有权
公开(公告)号：US10496722B2
公开(公告)日：2019-12-03
申请号：US15827445
申请日：2017-11-30
申请人： MAKE SENCE, INC.
发明人： Mark Bobick , Carl Wimmer
IPC分类号： G06F17/30 , G06F16/9535 , G06F16/33 , G06F16/951 , G06F16/954 , G06F16/2457 , G06F17/27 , G06N5/02
CPC分类号： G06F16/9535 , G06F16/24575 , G06F16/24578 , G06F16/334 , G06F16/3332 , G06F16/951 , G06F16/954 , G06F17/2795 , G06N5/022
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.

3. 发明申请

US20150302094A1 KNOWLEDGE CORRELATION SEARCH ENGINE 审中-公开
标题翻译：知识相关搜索引擎
公开(公告)号：US20150302094A1
公开(公告)日：2015-10-22
申请号：US14551938
申请日：2014-11-24
申请人： MAKE SENCE, INC.
发明人： Mark BOBICK , Carl WIMMER
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/2795 , G06F17/30528 , G06F17/3053 , G06F17/3066 , G06F17/30675 , G06F17/30864 , G06F17/30873 , G06N5/022
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。

4. 发明申请

US20170147666A9 TECHNIQUES FOR CREATING COMPUTER GENERATED NOTES 审中-公开
公开(公告)号：US20170147666A9
公开(公告)日：2017-05-25
申请号：US14964960
申请日：2015-12-10
申请人： MAKE SENCE, INC.
发明人： Mark BOBICK , Carl WIMMER
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/30569 , G06F17/27 , G06F17/2745 , G06F17/277 , G06F17/2795 , G06F17/30011 , G06F17/30864 , G06F17/30876 , G06N5/022
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.

5. 发明申请

US20160224669A1 TECHNIQUES FOR KNOWLEDGE DISCOVERY BY CONSTRUCTING KNOWLEDGE CORRELATIONS USING CONCEPTS OR TERMS 审中-公开
标题翻译：使用概念或条款构建知识关联的知识发现技术
公开(公告)号：US20160224669A1
公开(公告)日：2016-08-04
申请号：US15095719
申请日：2016-04-11
申请人： MAKE SENCE, INC.
发明人： Mark BOBICK , Carl WIMMER
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F16/951 , G06F16/20 , G06F16/24522 , G06F17/2705 , G06F17/277 , G06F17/2795 , G06N5/022
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。

6. 发明申请

US20140279971A1 METHOD FOR RESOURCE DECOMPOSITION AND RELATED DEVICES 审中-公开
标题翻译：资源分解方法及相关设备
公开(公告)号：US20140279971A1
公开(公告)日：2014-09-18
申请号：US14212768
申请日：2014-03-14
申请人： MAKE SENCE, INC.
发明人： Mark BOBICK , Carl Wimmer
IPC分类号： G06F17/30
CPC分类号： G06F16/24522 , G06F16/367 , G06F16/951 , G06N5/022
摘要： A method for processing textual resources may include decomposing the textual resources into a sequence of textual fragments, and searching the sequence of textual fragments for a match to a relational pattern including first and second tokens, and a word based relational bond therebetween. The searching may include searching each textual fragment of the sequence of textual fragments for a match to the word based relational bond, and when a given textual fragment matches the word based relational bond, determining whether the given textual fragment also matches the first and second tokens. The method may include when the given textual fragment also matches the first and second tokens, generating a node having the first and second tokens and the word based relational bond therebetween, and storing the node in a node pool.
摘要翻译：用于处理文本资源的方法可以包括将文本资源分解成文本片段序列，并且搜索文本片段的序列以匹配包括第一和第二令牌的关系模式，以及在它们之间的基于字的关系键。搜索可以包括搜索文本片段序列的每个文本片段以匹配基于单词的关系关系，并且当给定文本片段与基于单词的关系关系匹配时，确定给定文本片段是否也匹配第一和第二标记。该方法可以包括当给定的文本片段还与第一和第二标记匹配时，生成具有第一和第二标记的节点和其间的基于字的关系关系，并将节点存储在节点池中。

7. 发明授权

US11113304B2 Techniques for creating computer generated notes 有权
公开(公告)号：US11113304B2
公开(公告)日：2021-09-07
申请号：US15944686
申请日：2018-04-03
申请人： MAKE SENCE, INC.
发明人： Mark Bobick , Carl Wimmer
IPC分类号： G06F16/25 , G06F16/93 , G06F16/951 , G06F16/955 , G06N5/02 , G06F40/20 , G06F40/247 , G06F40/258 , G06F40/284
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.

8. 发明授权

US10467297B2 Techniques for knowledge discovery by constructing knowledge correlations using concepts or terms 有权
公开(公告)号：US10467297B2
公开(公告)日：2019-11-05
申请号：US15095719
申请日：2016-04-11
申请人： MAKE SENCE, INC.
发明人： Mark Bobick , Carl Wimmer
IPC分类号： G06F16/95 , G06F16/951 , G06F16/2452 , G06F17/27 , G06N5/02 , G06F16/20
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.

9. 发明申请

US20180307764A1 KNOWLEDGE CORRELATION SEARCH ENGINE 审中-公开
公开(公告)号：US20180307764A1
公开(公告)日：2018-10-25
申请号：US15827445
申请日：2017-11-30
申请人： MAKE SENCE, INC.
发明人： MARK BOBICK , CARL WIMMER
IPC分类号： G06F17/30 , G06N5/02 , G06F17/27
CPC分类号： G06F17/30867 , G06F17/2795 , G06F17/30528 , G06F17/3053 , G06F17/3066 , G06F17/30675 , G06F17/30864 , G06F17/30873 , G06N5/022
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.

10. 发明授权

US11216520B2 Knowledge correlation search engine 有权
公开(公告)号：US11216520B2
公开(公告)日：2022-01-04
申请号：US16667474
申请日：2019-10-29
申请人： MAKE SENCE, INC.
发明人： Mark Bobick , Carl Wimmer
IPC分类号： G06F7/00 , G06F16/9535 , G06F16/33 , G06F16/951 , G06F16/954 , G06F16/2457 , G06N5/02 , G06F40/247
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.

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