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    System and method for implementing a knowledge management system
    1.
    发明授权
    System and method for implementing a knowledge management system 有权
    实施知识管理系统的系统和方法

    公开(公告)号：US06711585B1

    公开(公告)日：2004-03-23

    申请号：US09594083

    申请日：2000-06-15

    申请人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

    发明人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

    IPC分类号： G06F1730

    CPC分类号： G06F17/30672 ,  G06F17/30616 ,  G06F17/30707 ,  G06F17/30731 ,  G06F17/30734 ,  G06F19/00 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terns to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

    摘要翻译： 一种方法和系统使用分类法组织和检索信息，文档分类器和自动上下文。 组织和检索子系统中的文档（或其他知识容器）可以手动或自动分类为分类。 文件从明文转换为结构化记录。 自动构造的索引有助于确定结构化记录何时是对查询的适当响应。 自动术语提取器创建表示文档主题的术语列表。 主题专家确定与分类法相关的术语。 术语分析系统将相关的ern分配给一个或多个分类法，然后使用合适的算法来确定每个术语列表及其相关分类法之间的相关性。 然后，系统根据归类于分类清单中的术语的权重对每个分类法的文档进行聚类，并创建有向非循环图（DAG）结构。

    System and method for implementing a knowledge management system
    2.
    发明授权
    System and method for implementing a knowledge management system 有权
    实施知识管理系统的系统和方法

    公开(公告)号：US07401087B2

    公开(公告)日：2008-07-15

    申请号：US10610994

    申请日：2003-07-01

    申请人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

    发明人： Max Copperman ,  Mark Angel ,  Jeffrey H. Rudy ,  Scott B. Huffman ,  David B. Kay ,  Raya Fratkina

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30672 ,  G06F17/30616 ,  G06F17/30707 ,  G06F17/30731 ,  G06F17/30734 ,  G06F19/00 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

    摘要翻译： 一种方法和系统使用分类法组织和检索信息，文档分类器和自动上下文。 组织和检索子系统中的文档（或其他知识容器）可以手动或自动分类为分类。 文件从明文转换为结构化记录。 自动构造的索引有助于确定结构化记录何时是对查询的适当响应。 自动术语提取器创建表示文档主题的术语列表。 主题专家确定与分类法相关的术语。 术语分析系统将相关术语分配给一个或多个分类法，然后使用合适的算法来确定每个术语列表及其相关分类法之间的相关性。 然后，系统根据归类于分类清单中的术语的权重对每个分类法的文档进行聚类，并创建有向非循环图（DAG）结构。

    VISUAL SEARCH EXPERIENCE EDITOR
    4.
    发明申请
    VISUAL SEARCH EXPERIENCE EDITOR 审中-公开
    视觉搜索经验编辑

    公开(公告)号：US20070250492A1

    公开(公告)日：2007-10-25

    申请号：US11462557

    申请日：2006-08-04

    申请人： Mark Angel ,  Max Copperman ,  Raya Fratkina ,  Scott B. Huffman ,  Brian Ulicny

    发明人： Mark Angel ,  Max Copperman ,  Raya Fratkina ,  Scott B. Huffman ,  Brian Ulicny

    IPC分类号： G06F17/30

    CPC分类号： G06F16/90324

    摘要： This document describes, among other things, a visual search experience editor for providing a tailored search experience to one or more end-users. In certain examples, the editor provides a What-You-See-Is-What-You-Get (WYSIWIG)-type interface, so that an administrative user can see what the tailored search experience will look like to the end-user. This may include the ability to review live search results or other specialized transaction interface results responsive to the tailored search. This document also describes various techniques of triggering tailored search experiences, as well as techniques for mapping queries to tailored search experiences, such as to generalize a particular tailored search for a particular query to apply to other similar queries.

    摘要翻译： 该文件尤其描述了一种视觉搜索体验编辑器，用于向一个或多个最终用户提供定制的搜索体验。 在某些示例中，编辑器提供了What-You-See-Is-What-You-Get（WYSIWIG）型接口，以便管理用户可以看到定制的搜索体验对最终用户的看法。 这可以包括响应于定制搜索来检查实时搜索结果或其他专门的交易界面结果的能力。 本文件还描述了触发定制搜索体验的各种技术，以及用于将查询映射到定制的搜索体验的技术，例如将特定定制的搜索推广到特定查询以应用于其他类似查询。

    System and method for providing an intelligent multi-step dialog with a user
    5.
    发明授权
    System and method for providing an intelligent multi-step dialog with a user 有权
    用于向用户提供智能多步骤对话的系统和方法

    公开(公告)号：US07539656B2

    公开(公告)日：2009-05-26

    申请号：US09798964

    申请日：2001-03-06

    申请人： Raya Fratkina ,  Monica Anderson ,  Mark A. Angel ,  Max Copperman ,  Scott B. Huffman ,  David Kay ,  Robert Stern

    发明人： Raya Fratkina ,  Monica Anderson ,  Mark A. Angel ,  Max Copperman ,  Scott B. Huffman ,  David Kay ,  Robert Stern

    IPC分类号： G06F17/00 ,  G06F17/30 ,  G06N5/00

    CPC分类号： G06F17/30654 ,  G06F17/30873 ,  G06N5/042 ,  Y10S707/99933 ,  Y10S707/99945

    摘要： A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map. The present invention is an application program running on a server accessed via the world-wide web or other data network using standard Internet protocols, a web browser and web server software. In addition to an automated portion, the present invention allows a human dialog designer to model the way the system elicits information, giving a human feel to the dialog and a better customer experience. In operation, users start a dialog by directing their web browser to a designated web page. This web page asks the user some initial questions that are then passed to a dialog engine. The dialog engine then applies its methods and algorithms to a knowledge map, using dialog control information\ and the user's responses to provide feedback to the user. The feedback may include follow-up questions, relevant documents, and instructions to the user (e.g., instructions to contact a human customer service representative). This dialog engine response is rendered as a web page and returned to the user's web browser. The user can then respond further to the follow-up questions he or she is presented, and the cycle repeats. The invention can be implemented so that it can interact with customers through a wide variety of communication channels including the Internet, wireless devices (e.g., telephone, pager, etc.), handheld devices such as a Personal Data Assistant (PDA), email, and via a telephone where the automated system is delivered using an interactive voice response (IVR) and/or speech-recognition system.

    摘要翻译： 公开了一种用于通过使用与客户端的多阶段交互来检索信息以识别与知识图相关联的特定知识内容的方法和系统。 本发明是在通过世界范围的网络或其他数据网络使用标准互联网协议访问的服务器上运行的应用程序，网络浏览器和web服务器软件。 除了自动化部分之外，本发明允许人对话设计者对系统引出信息的方式进行建模，给出对人的感觉和更好的客户体验。 在操作中，用户通过将其浏览器指向指定的网页来开始对话。 该网页向用户询问一些初始问题，然后传递给对话框引擎。 然后，对话框引擎将其方法和算法应用于知识图，使用对话控制信息\和用户的响应来向用户提供反馈。 反馈可以包括对用户的后续问题，相关文档和指令（例如，联系人类客户服务代表的指令）。 此对话框引擎响应呈现为网页并返回到用户的Web浏览器。 用户可以进一步响应他或她所呈现的后续问题，循环重复。 可以实现本发明，使得其可以通过包括因特网，无线设备（例如，电话，寻呼机等），诸如个人数据助理（PDA），电子邮件等手持设备的各种通信信道与客户进行交互， 以及通过使用交互式语音响应（IVR）和/或语音识别系统传送自动系统的电话。

    System and method for implementing a knowledge management system
    7.
    发明申请
    System and method for implementing a knowledge management system 审中-公开
    实施知识管理系统的系统和方法

    公开(公告)号：US20070033221A1

    公开(公告)日：2007-02-08

    申请号：US11543563

    申请日：2006-10-05

    申请人： Max Copperman ,  Mark Angel ,  Jeffrey Rudy ,  Scott Huffman ,  David Kay ,  Raya Fratkina

    发明人： Max Copperman ,  Mark Angel ,  Jeffrey Rudy ,  Scott Huffman ,  David Kay ,  Raya Fratkina

    IPC分类号： G06F7/00

    CPC分类号： G06F16/367 ,  G06F16/313 ,  G06F16/3338 ,  G06F16/353 ,  G06F16/36 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

    摘要翻译： 一种方法和系统使用分类法组织和检索信息，文档分类器和自动上下文。 组织和检索子系统中的文档（或其他知识容器）可以手动或自动分类为分类。 文件从明文转换为结构化记录。 自动构造的索引有助于确定结构化记录何时是对查询的适当响应。 自动术语提取器创建表示文档主题的术语列表。 主题专家确定与分类法相关的术语。 术语分析系统将相关术语分配给一个或多个分类法，然后使用合适的算法来确定每个术语列表及其相关分类法之间的相关性。 然后，系统根据归类于分类清单中的术语的权重对每个分类法的文档进行聚类，并创建有向非循环图（DAG）结构。