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1. 发明授权

US07734556B2 Method and system for discovering knowledge from text documents using associating between concepts and sub-concepts 有权
标题翻译：通过概念和子概念之间的关联，从文本文档中发现知识的方法和系统
公开(公告)号：US07734556B2
公开(公告)日：2010-06-08
申请号：US10532163
申请日：2002-10-24
申请人： Ah Hwee Tan , Rajaraman Kanagasabai
发明人： Ah Hwee Tan , Rajaraman Kanagasabai
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06F17/277 , G06F17/278 , G06F17/30705 , G06N5/022
摘要： A method and a system for discovering knowledge from text documents are disclosed, which involve extracting from text documents semi-structured meta-data, wherein the semi-structured meta-data includes a plurality of entities and a plurality of relations between the entities; identifying from the semi-structured meta-data a plurality of key entities and a corresponding plurality of key relations; deriving from a domain knowledge base a plurality of attributes relating to each of the plurality of entities relating to one of the plurality of key entities for forming a plurality of pairs of key entity and a plurality of attributes related thereto; formulating a plurality of patterns, each of the plurality of patterns relating to one of the plurality of pairs of key entity and a plurality of attributes related thereto; analyzing the plurality of patterns using an associative discoverer; and interpreting the output of the associative discoverer for discovering knowledge.
摘要翻译：公开了一种用于从文本文档中发现知识的方法和系统，其涉及从文本文档中提取半结构化元数据，其中所述半结构化元数据包括所述多个实体和所述实体之间的多个关系; 从所述半结构化元数据识别多个关键实体和对应的多个关键关系; 从域知识库导出与所述多个关键实体中的一个相关联的多个实体中的每一个相关联的多个属性，用于形成多个关键实体对和与其相关的多个属性; 制定多个模式，所述多个模式中的每一个与所述多个密钥实体对中的一个相关联，以及与其相关的多个属性; 使用关联发现者分析多个模式; 并解释相关发现者的输出以发现知识。

2. 发明申请

US20060026203A1 Method and system for discovering knowledge from text documents 有权
标题翻译：从文本文档中发现知识的方法和系统
公开(公告)号：US20060026203A1
公开(公告)日：2006-02-02
申请号：US10532163
申请日：2002-10-24
申请人： Ah Hwee Tan , Rajaraman Kanagasabai
发明人： Ah Hwee Tan , Rajaraman Kanagasabai
IPC分类号： G06F17/00
CPC分类号： G06F17/277 , G06F17/278 , G06F17/30705 , G06N5/022
摘要： A method and a system for discovering knowledge from text documents are disclosed, which involve extracting from text documents semi-structured meta-data, wherein the semi-structured meta-data includes a plurality of entities and a plurality of relations between the entities; identifying from the semi-structured meta-data a plurality of key entities and a corresponding plurality of key relations; deriving from a domain knowledge base a plurality of attributes relating to each of the plurality of entities relating to one of the plurality of key entities for forming a plurality of pairs of key entity and a plurality of attributes related thereto; formulating a plurality of patterns, each of the plurality of patterns relating to one of the plurality of pairs of key entity and a plurality of attributes related thereto; analyzing the plurality of patterns using an associative discoverer; and interpreting the output of the associative discoverer for discovering knowledge.
摘要翻译：公开了一种用于从文本文档中发现知识的方法和系统，其涉及从文本文档中提取半结构化元数据，其中所述半结构化元数据包括所述多个实体和所述实体之间的多个关系; 从所述半结构化元数据识别多个关键实体和对应的多个关键关系; 从域知识库导出与所述多个关键实体中的一个相关联的多个实体中的每一个相关联的多个属性，用于形成多个关键实体对和与其相关的多个属性; 制定多个模式，所述多个模式中的每一个与所述多个密钥实体对中的一个相关联，以及与其相关的多个属性; 使用关联发现者分析多个模式; 并解释相关发现者的输出以发现知识。

3. 发明授权

US07386560B2 Method and system for user-configurable clustering of information 失效
标题翻译：用户可配置的信息聚类方法和系统
公开(公告)号：US07386560B2
公开(公告)日：2008-06-10
申请号：US09875271
申请日：2001-06-07
申请人： Ah Hwee Tan
发明人： Ah Hwee Tan
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3071 , Y10S707/913 , Y10S707/914 , Y10S707/915 , Y10S707/916 , Y10S707/917 , Y10S707/99936 , Y10S707/99943
摘要： A method and system for incorporating a user's preferences in an information clustering system having an information clustering engine for clustering information based on similarities, a user interface module for displaying the information groupings and obtaining user preferences, a personalization module for defining, labeling, modifying, storing and retrieving cluster structure, and a knowledge base where the user-defined cluster structure is stored. The user-configurable clustering system first organizes information into a list of automatic generated groupings or clusters. The list of groupings can then be modified by a user through an interactive process of personalization and re-clustering using a set of cluster manipulation operators. The personalized cluster indicates the user preference in organizing information and can be used to organize new information. The system can also be used to identify novel information that does not fit into the personalized cluster structure.
摘要翻译：一种用于将用户偏好合并到信息聚类系统中的方法和系统，所述信息聚类系统具有基于相似性的用于聚类信息的信息聚类引擎，用于显示所述信息分组并获得用户偏好的用户界面模块，用于定义，标注，修改，存储和检索集群结构，以及存储用户定义的集群结构的知识库。用户可配置的集群系统首先将信息组织成自动生成的分组或集群的列表。然后可以通过使用一组集群操作操作符的个性化和重新聚类的交互过程，用户修改分组列表。个性化集群表示组织信息时的用户偏好，可用于组织新信息。该系统还可用于识别不适合个性化群集结构的新颖信息。

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