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    • 2. 发明授权
    • Programmatically serializing complex objects using self-healing techniques
    • 使用自我修复技术以编程方式对复杂对象进行序列化
    • US07150004B2
    • 2006-12-12
    • US10225379
    • 2002-08-21
    • Feng-wei Chen RussellSamuel R. McHan, Jr.William D. Reed
    • Feng-wei Chen RussellSamuel R. McHan, Jr.William D. Reed
    • G06F9/44
    • G06F9/4493
    • Methods, systems, and computer program products for programmatically serializing complex objects (such as JavaBeans™). In contrast to prior art techniques, a manually-specified data type mapping specification is not required as input to the serialization process. Instead, the present invention programmatically generates this type mapping, responsive to encountering run-time exceptions during the serialization process. The serialization process is therefore “self-healing”. This approach is especially advantageous when serializing complex objects that may include complex data types and/or embedded objects. The programmatically-generated type mapping information is preferably used to generate a serialized version of the complex object, and can also be used during deserialization. In addition to improving serialization techniques, this type mapping information facilitates dynamic integration and transformation of data between heterogeneous formats.
    • 用于以编程方式序列化复杂对象(如JavaBeans(TM))的方法,系统和计算机程序产品。 与现有技术相反,手动指定的数据类型映射规范不需要作为串行化过程的输入。 相反,本发明以编程方式生成此类型映射,以响应于在序列化过程期间遇到运行时异常。 因此,序列化过程是“自我修复”。 当将包含复杂数据类型和/或嵌入对象的复杂对象序列化时,这种方法特别有利。 编程生成的类型映射信息优选地用于生成复杂对象的序列化版本,并且还可以在反序列化期间使用。 除了改进序列化技术之外,这种类型的映射信息有助于异构格式之间的数据的动态集成和转换。
    • 3. 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。
    • 5. 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。