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1.发明申请METHOD, SYSTEM, AND COMPUTER PROGRAM FOR USER-DRIVEN DYNAMIC GENERATION OF SEMANTIC NETWORKS AND MEDIA SYNTHESIS 审中-公开用于用户驱动的语义网络和媒体合成动态生成的方法，系统和计算机程序公开(公告)号：US20140324765A1
公开(公告)日：2014-10-30
申请号：US14163504
申请日：2014-01-24
申请人： Primal Fusion Inc.
IPC分类号： G06N5/02
摘要： This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.
摘要翻译： 本发明一般涉及分类系统。 更具体地说，本发明涉及动态生成由分类系统或语义网络合成的信息领域的系统，方法和计算机程序。 本发明公开了一种方法，系统和计算机程序，其提供了一种包括知识表示的信息存储（诸如包括多个网页的网站或由多个数据实例组成的数据库）的装置可以是最佳的 基于由代理识别的一个或多个想法定义的想法与由数据实例体现的一个或多个想法之间的关系链接来组织和访问。 以下将这种手段称为“思想网络”。
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公开(公告)号：US11868903B2
公开(公告)日：2024-01-09
申请号：US14163504
申请日：2014-01-24
申请人： Primal Fusion Inc.
IPC分类号： G06N5/02 , G06F16/36 , G06F16/33 , G06F16/2457 , G06F40/30 , G06Q30/0241 , G06Q30/0251 , G06N5/022
CPC分类号： G06N5/02 , G06F16/24575 , G06F16/3334 , G06F16/3344 , G06F16/367 , G06F40/30 , G06N5/022 , G06Q30/0241 , G06Q30/0269
摘要： This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.
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3.发明申请SYSTEMS AND METHODS FOR ANALYZING AND SYNTHESIZING COMPLEX KNOWLEDGE REPRESENTATIONS 有权用于分析和合成复杂知识表示的系统和方法公开(公告)号：US20150302299A1
公开(公告)日：2015-10-22
申请号：US14788589
申请日：2015-06-30
申请人： Primal Fusion Inc.
CPC分类号： G06N5/02 , G06F17/30914
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US20130282647A1
公开(公告)日：2013-10-24
申请号：US13919934
申请日：2013-06-17
申请人： Primal Fusion Inc.
IPC分类号： G06N5/02
CPC分类号： G06F17/30731 , G06N5/022
摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive of an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.
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5.发明公开公开(公告)号：US20240095546A1
公开(公告)日：2024-03-21
申请号：US18518808
申请日：2023-11-24
申请人： Primal Fusion Inc.
IPC分类号： G06N5/02 , G06F16/2457 , G06F16/33 , G06F16/36 , G06F40/30 , G06N5/022 , G06Q30/0241 , G06Q30/0251
CPC分类号： G06N5/02 , G06F16/24575 , G06F16/3334 , G06F16/3344 , G06F16/367 , G06F40/30 , G06N5/022 , G06Q30/0241 , G06Q30/0269
摘要： This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.
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公开(公告)号：US10803107B2
公开(公告)日：2020-10-13
申请号：US15054327
申请日：2016-02-26
申请人： Primal Fusion Inc.
摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.
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7.发明申请SYSTEMS AND METHODS FOR SEMANTIC CONCEPT DEFINITION AND SEMANTIC CONCEPT RELATIONSHIP SYNTHESIS UTILIZING EXISTING DOMAIN DEFINITIONS 有权用于语义概念定义和语义概念的系统和方法利用现有的域定义进行合成公开(公告)号：US20150100540A1
公开(公告)日：2015-04-09
申请号：US14571902
申请日：2014-12-16
申请人： Primal Fusion Inc.
IPC分类号： G06N5/02
CPC分类号： G06F17/30731 , G06N5/022
摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.
摘要翻译： 用于从数据领域合成概念定义和概念关系的计算机实现的系统和方法，利用不同的语义处理协议，如形式化概念分析，以及内置置信度梯度的现有领域概念的分面分类综合。 认知或输入代理提供与现有领域概念相匹配的活动概念的输入。 然后使用相关领域概念的合成池来使用语义处理协议来导出虚拟概念定义。 然后用属性集中的另一个属性的相对接近度的概念覆盖推导。 通过相对邻近度量给出附加的一致性层。 最终结果是树结构中相关的虚拟概念定义池。
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8.发明授权公开(公告)号：US08943016B2
公开(公告)日：2015-01-27
申请号：US13919934
申请日：2013-06-17
申请人： Primal Fusion Inc.
CPC分类号： G06F17/30731 , G06N5/022
摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive of an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.
摘要翻译： 用于从数据领域合成概念定义和概念关系的计算机实现的系统和方法，利用不同的语义处理协议，如形式化概念分析，以及内置置信度梯度的现有领域概念的分面分类综合。 认知或输入代理提供与现有领域概念相匹配的活动概念的输入。 然后使用相关领域概念的合成池来使用语义处理协议来导出虚拟概念定义。 然后用属性集中的另一个属性的相对接近度的概念覆盖推导。 通过相对邻近度量给出附加的一致性层。 最终结果是树结构中相关的虚拟概念定义池。
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公开(公告)号：US12032616B2
公开(公告)日：2024-07-09
申请号：US15418875
申请日：2017-01-30
申请人： Primal Fusion Inc.
摘要： Computer-implemented systems find methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.
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公开(公告)号：US09934465B2
公开(公告)日：2018-04-03
申请号：US14788589
申请日：2015-06-30
申请人： Primal Fusion Inc.
CPC分类号： G06N5/02 , G06F17/30914
摘要： 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.
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