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    • 1. 发明授权
    • Pre-highlighting text in a semantic highlighting system
    • 在语义突出显示系统中预先突出显示文本
    • US08359193B2
    • 2013-01-22
    • US12650671
    • 2009-12-31
    • Feng-Wei ChenJulius Goth, IIIJohn A. MedickeWilliam D. Reed
    • Feng-Wei ChenJulius Goth, IIIJohn A. MedickeWilliam D. Reed
    • G06F17/27
    • G06F17/2785
    • A method, computer system and/or computer program product pre-highlight text that is located in a search. A text highlight and a triple statement semantic annotation based on the text highlight of a first document are received. The triple statement semantic annotation comprises a subject, a relationship and an object. A natural language processing (NLP) pattern based on the triple statement semantic annotation is generated. The NLP pattern is representative of a linguistic pattern between the text highlight and the triple statement semantic annotation. A multi-dimensional linguistic profile is generated based on the text highlight, the triple statement semantic annotation and the NLP pattern, wherein the multi-dimensional linguistic profile defines entities, relationships and attributes associated with document text. Text in a second document is compared with the multi-dimensional linguistic profile, and text in the second document is highlighted based on the comparison.
    • 方法,计算机系统和/或计算机程序产品预先突出显示位于搜索中的文本。 接收基于第一文档的文本突出显示的文本突出显示和三重语义语义注释。 三重语句语义注释包括主题,关系和对象。 生成基于三重语义语义注释的自然语言处理(NLP)模式。 NLP模式代表文本突出显示和三重语句语义注释之间的语言模式。 基于文本高亮,三重语义语义注释和NLP模式生成多维语言概况,其中多维语言轮廓定义与文档文本相关联的实体,关系和属性。 将第二文档中的文本与多维语言概况进行比较,并且基于比较来突出显示第二文档中的文本。
    • 2. 发明授权
    • Deriving ontology based on linguistics and community tag clouds
    • 基于语言学和社区标签云导出本体论
    • US08359191B2
    • 2013-01-22
    • US12184731
    • 2008-08-01
    • Feng-Wei ChenDavid G. GeorgeJohn A. Medicke
    • Feng-Wei ChenDavid G. GeorgeJohn A. Medicke
    • G06F17/27
    • G06F17/30734
    • In some embodiments, a method comprises receiving a tag cloud including tags that hyperlink to web content. The method can also comprise separating the tags into different linguistic categories, assigning a weight to each tag, and grouping the tags into clusters, wherein tags in a cluster are associated with a context. The method can also include determining one or more domains for the tag clusters, wherein a domain is a broadest class that defines one or more of the tags in a linguistic category, determining a hierarchy for the tags based on the weights of the tags, and identifying linguistic relationships between the tags. The method can also comprise determining properties associated with one or more of the tags and one or more of the domains, wherein the tag's properties are determined using linguistic analysis and storing the tags, the hierarchies, the linguistic relationships, and the properties.
    • 在一些实施例中,一种方法包括接收包括超链接到web内容的标签的标签云。 该方法还可以包括将标签分成不同的语言类别,为每个标签分配权重,以及将标签分组成群集,其中群集中的标签与上下文相关联。 该方法还可以包括为标签集群确定一个或多个域,其中域是定义语言类别中的一个或多个标签的最广泛类,基于标签的权重确定标签的层级,以及 识别标签之间的语言关系。 该方法还可以包括确定与一个或多个标签和一个或多个域相关联的属性,其中使用语言分析和存储标签,层次结构,语言关系和属性来确定标签的属性。
    • 3. 发明申请
    • DERIVING ONTOLOGY BASED ON LINGUISTICS AND COMMUNITY TAG CLOUDS
    • 基于LINGUISTICS和社区标签的导航本体论
    • US20100030552A1
    • 2010-02-04
    • US12184731
    • 2008-08-01
    • Feng-Wei ChenDavid G. GeorgeJohn A. Medicke
    • Feng-Wei ChenDavid G. GeorgeJohn A. Medicke
    • G06F17/27
    • G06F17/30734
    • In some embodiments, a method comprises receiving a tag cloud including tags that hyperlink to web content. The method can also comprise separating the tags into different linguistic categories, assigning a weight to each tag, and grouping the tags into clusters, wherein tags in a cluster are associated with a context. The method can also include determining one or more domains for the tag clusters, wherein a domain is a broadest class that defines one or more of the tags in a linguistic category, determining a hierarchy for the tags based on the weights of the tags, and identifying linguistic relationships between the tags. The method can also comprise determining properties associated with one or more of the tags and one or more of the domains, wherein the tag's properties are determined using linguistic analysis and storing the tags, the hierarchies, the linguistic relationships, and the properties.
    • 在一些实施例中,一种方法包括接收包括超链接到web内容的标签的标签云。 该方法还可以包括将标签分成不同的语言类别,为每个标签分配权重,以及将标签分组成群集,其中群集中的标签与上下文相关联。 该方法还可以包括为标签集群确定一个或多个域,其中域是定义语言类别中的一个或多个标签的最广泛类,基于标签的权重确定标签的层级,以及 识别标签之间的语言关系。 该方法还可以包括确定与一个或多个标签和一个或多个域相关联的属性,其中使用语言分析和存储标签,层次结构,语言关系和属性来确定标签的属性。
    • 4. 发明授权
    • Relevance content searching for knowledge bases
    • 相关内容搜索知识库
    • US09256672B2
    • 2016-02-09
    • US12253097
    • 2008-10-16
    • Clyde L. Cain, Jr.Feng-Wei ChenJu Y. LeeMargaret H. MagoNikhil R. ParekhWilliam D. Reed
    • Clyde L. Cain, Jr.Feng-Wei ChenJu Y. LeeMargaret H. MagoNikhil R. ParekhWilliam D. Reed
    • G06F17/30
    • G06F17/30731G06F17/30672
    • Embodiments of the present invention provide a novel and non-obvious method, server and computer program product for finding relevant content in a knowledge base. A method for finding items that are related to a user selected item in a knowledge base is provided. The method can include generating a first list of knowledge base items with a defined relationship to the user selected item and generating a second list of knowledge base items that belong to the same category as a category of the user selected item. The method can further include generating a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item and selecting a first set of knowledge base items that are present in the first, second or third lists. The method can further include displaying the first set of knowledge base items as most relevant.
    • 本发明的实施例提供了一种用于在知识库中查找相关内容的新颖且非显而易见的方法,服务器和计算机程序产品。 提供了一种用于在知识库中查找与用户选择的项目相关的项目的方法。 该方法可以包括生成与用户选择的项目具有确定的关系的知识库项目的第一列表,并且生成与用户选择的项目的类别属于相同类别的知识库基础项目的第二列表。 该方法还可以包括生成具有与用户选择项目的一个或多个标签相同的一个或多个标签的知识基础项目的第三列表,并且选择存在于第一,第二或第三列表中的第一组知识库项目。 该方法还可以包括显示最相关的第一组知识库项目。
    • 6. 发明申请
    • RELEVANCE CONTENT SEARCHING FOR KNOWLEDGE BASES
    • 相关内容搜索知识库
    • US20100114886A1
    • 2010-05-06
    • US12253097
    • 2008-10-16
    • Clyde L. Cain, JR.Feng-Wei ChenJu Y. LeeMargaret H. MagoNikhil R. ParekhWilliam D. Reed
    • Clyde L. Cain, JR.Feng-Wei ChenJu Y. LeeMargaret H. MagoNikhil R. ParekhWilliam D. Reed
    • G06F7/06G06F17/30
    • G06F17/30731G06F17/30672
    • Embodiments of the present invention provide a novel and non-obvious method, server and computer program product for finding relevant content in a knowledge base. A method for finding items that are related to a user selected item in a knowledge base is provided. The method can include generating a first list of knowledge base items with a defined relationship to the user selected item and generating a second list of knowledge base items that belong to the same category as a category of the user selected item. The method can further include generating a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item and selecting a first set of knowledge base items that are present in the first, second or third lists. The method can further include displaying the first set of knowledge base items as most relevant.
    • 本发明的实施例提供了一种用于在知识库中查找相关内容的新颖且非显而易见的方法,服务器和计算机程序产品。 提供了一种用于在知识库中查找与用户选择的项目相关的项目的方法。 该方法可以包括生成与用户选择的项目具有确定的关系的知识库项目的第一列表,并且生成与用户选择的项目的类别属于相同类别的知识库基础项目的第二列表。 该方法还可以包括生成具有与用户选择项目的一个或多个标签相同的一个或多个标签的知识基础项目的第三列表,并且选择存在于第一,第二或第三列表中的第一组知识库项目。 该方法还可以包括显示最相关的第一组知识库项目。