公开(公告)号：US11474979B2

公开(公告)日：2022-10-18

申请号：US16585404

申请日：2019-09-27

申请人： PRIMAL FUSION INC.

发明人： Peter Sweeney ,  Ihab Francis Ilyas

IPC分类号： G06F16/21 ,  G06N5/02 ,  G06F16/248

摘要： Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

公开(公告)号：US10248669B2

公开(公告)日：2019-04-02

申请号：US15484679

申请日：2017-04-11

申请人： PRIMAL FUSION INC.

发明人： Peter Sweeney ,  Ihab Francis Ilyas

IPC分类号： G06N5/02 ,  G06F17/30

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 context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may depend on user models, context information, preference information, and/or preference models.

公开(公告)号：US10198503B2

公开(公告)日：2019-02-05

申请号：US13341899

申请日：2011-12-30

申请人： Peter Sweeney ,  Ihab Francis Ilyas ,  Naim Khan

发明人： Peter Sweeney ,  Ihab Francis Ilyas ,  Naim Khan

IPC分类号： G06F15/16 ,  G06F17/30 ,  G06F17/27

摘要： Disclosed is a system and method for performing a semantic operation on a social network. In an embodiment, the method comprises receiving a social network user context associated with a user of the social network; generating, through a semantic operation, an interest network based on the user context information; and filtering, ranking or augmenting, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network; wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network. In another embodiment, the method further comprises representing the interest network as an interest graph. In yet another embodiment, the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

公开(公告)号：US10002325B2

公开(公告)日：2018-06-19

申请号：US13345644

申请日：2012-01-06

申请人： Peter Joseph Sweeney ,  Ihab Francis Ilyas ,  Wu Zhou ,  Wayne Oldford

发明人： Peter Joseph Sweeney ,  Ihab Francis Ilyas ,  Wu Zhou ,  Wayne Oldford

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06N5/02 ,  G06N7/00

CPC分类号： G06N5/02 ,  G06F16/84 ,  G06N7/005

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 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.

公开(公告)号：US09792550B2

公开(公告)日：2017-10-17

申请号：US15164952

申请日：2016-05-26

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney ,  Ihab Francis Ilyas ,  Jean-Paul Dupuis ,  Nadiya Yampolska

IPC分类号： G06N5/02 ,  G06F17/30 ,  G06F17/27 ,  G06Q30/02

CPC分类号： G06N5/02 ,  G06F17/2785 ,  G06F17/30528 ,  G06F17/30663 ,  G06F17/30684 ,  G06F17/30734 ,  G06N5/022 ,  G06Q30/0241 ,  G06Q30/0269

摘要： Methods and system for providing information selected from a large set of digital content to at least one user. One such method comprises receiving user context information associated with the at least one user and identifying or generating, using at least one processor executing stored program instructions, a first concept in a semantic network, the first concept representing at least a portion of the user context information. The method further comprises obtaining at least one concept, including a second concept, semantically relevant to the first concept at least in part, by synthesizing the second concept based on the first concept and at least one other concept in the semantic network; and providing information to the at least one user, wherein the information is selected by using the first concept and the at least one obtained concept semantically relevant to the first concept, wherein the first concept in a semantic network is represented by a data structure storing any data associated with a node in the semantic network.

公开(公告)号：US20160342896A1

公开(公告)日：2016-11-24

申请号：US15164952

申请日：2016-05-26

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney ,  Ihab Francis Ilyas ,  Jean-Paul Dupuis ,  Nadiya Yampolska

IPC分类号： G06N5/02 ,  G06F17/30 ,  G06Q30/02

CPC分类号： G06N5/02 ,  G06F17/2785 ,  G06F17/30528 ,  G06F17/30663 ,  G06F17/30684 ,  G06F17/30734 ,  G06N5/022 ,  G06Q30/0241 ,  G06Q30/0269

摘要： Methods and system for providing information selected from a large set of digital content to at least one user. One such method comprises receiving user context information associated with the at least one user and identifying or generating, using at least one processor executing stored program instructions, a first concept in a semantic network, the first concept representing at least a portion of the user context information. The method further comprises obtaining at least one concept, including a second concept, semantically relevant to the first concept at least in part, by synthesizing the second concept based on the first concept and at least one other concept in the semantic network; and providing information to the at least one user, wherein the information is selected by using the first concept and the at least one obtained concept semantically relevant to the first concept, wherein the first concept in a semantic network is represented by a data structure storing any data associated with a node in the semantic network.

摘要翻译： 用于向至少一个用户提供从大量数字内容中选择的信息的方法和系统。 一种这样的方法包括接收与至少一个用户相关联的用户上下文信息，并使用执行存储的程序指令的至少一个处理器识别或生成语义网络中的第一概念，第一概念表示用户上下文的至少一部分 信息。 所述方法还包括至少部分地通过基于所述第一概念和所述语义网络中的至少一个其他概念来合成所述第二概念来获得包括第二概念的至少一个概念，所述第二概念与所述第一概念语义相关; 以及向所述至少一个用户提供信息，其中通过使用所述第一概念和所述至少一个获得的与所述第一概念语义相关的概念来选择所述信息，其中语义网络中的所述第一概念由存储任何 与语义网络中的节点相关联的数据。

公开(公告)号：US20160232238A1

公开(公告)日：2016-08-11

申请号：US15094775

申请日：2016-04-08

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney ,  Robert Charles Good

IPC分类号： G06F17/30 ,  G06Q30/02

CPC分类号： G06F16/951 ,  G06F16/24578 ,  G06F16/3334 ,  G06F16/367 ,  G06F17/2785 ,  G06Q30/0277

摘要： A method of semantic searching. The method may include receiving a first search query, obtaining a disambiguation term for semantically disambiguating the first search query, and creating, with a processor, a second search query based at least in part on the first search query and the disambiguation term. The method may also include at least one of outputting search results obtained from a search conducted based at least in part on the second search query and sending the second search query to a search service for outputting search results.

摘要翻译： 一种语义搜索的方法。 该方法可以包括接收第一搜索查询，获得用于语义上消歧第一搜索查询的消歧词，以及至少部分地基于第一搜索查询和消歧术词与处理器一起创建第二搜索查询。 该方法还可以包括至少一个，至少部分地基于第二搜索查询输出从搜索获得的搜索结果，并将第二搜索查询发送到搜索服务以输出搜索结果。

公开(公告)号：US09361365B2

公开(公告)日：2016-06-07

申请号：US13162069

申请日：2011-06-16

申请人： Peter J. Sweeney ,  Robert Charles Good

发明人： Peter J. Sweeney ,  Robert Charles Good

IPC分类号： G06F17/30 ,  G06F17/27

CPC分类号： G06F17/30864 ,  G06F17/2785 ,  G06F17/3053 ,  G06F17/30663 ,  G06F17/30734 ,  G06Q30/0277

摘要： A method of semantic searching. The method may include receiving a first search query, obtaining a disambiguation term for semantically disambiguating the first search query, and creating, with a processor, a second search query based at least in part on the first search query and the disambiguation term. The method may also include at least one of outputting search results obtained from a search conducted based at least in part on the second search query and sending the second search query to a search service for outputting search results.

摘要翻译： 一种语义搜索的方法。 该方法可以包括接收第一搜索查询，获得用于语义上消歧第一搜索查询的消歧词，以及至少部分地基于第一搜索查询和消歧术词与处理器一起创建第二搜索查询。 该方法还可以包括至少一个，至少部分地基于第二搜索查询输出从搜索获得的搜索结果，并将第二搜索查询发送到搜索服务以输出搜索结果。

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.

发明人： Peter Sweeney ,  Robert Good ,  Robert Barlow-Busch ,  Alexander David Black

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”。

公开(公告)号：US08849860B2

公开(公告)日：2014-09-30

申请号：US13345640

申请日：2012-01-06

申请人： Ihab Francis Ilyas ,  Wu Zhou ,  Wayne Oldford

发明人： Ihab Francis Ilyas ,  Wu Zhou ,  Wayne Oldford

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06N5/02 ,  G06F17/30914 ,  G06N7/005

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 context information. Methods of populating an elemental data structure and methods of synthesizing a complex KR from the elemental data structure may rely on statistical inference techniques.

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。 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体KR的方法可以依赖统计推理技术。