公开(公告)号：US20100050093A1

公开(公告)日：2010-02-25

申请号：US12258794

申请日：2008-10-27

申请人： Clifford A. Behrens ,  Devasis Bassu ,  Hyong Sop Shim

发明人： Clifford A. Behrens ,  Devasis Bassu ,  Hyong Sop Shim

IPC分类号： G06F3/00

CPC分类号： G06Q10/10

摘要： A collaborative panel administrator provides virtual panel lifecycle management to a wide variety of data acquisition and analysis services. Broadly, it supports three types of functionalities—it provides panel lifecycle management functions; it acts as a service plug-in registry allowing various data acquisition and analysis services to register with it and extend its functionality; and, it acts as a client for the registered analysis services by invoking them on user requests and then storing and distributing the results according to panel security policies.

摘要翻译： 协作面板管理员为各种数据采集和分析服务提供虚拟面板生命周期管理。 广泛地说，它支持三种功能 - 它提供面板生命周期管理功能; 它作为一个服务插件注册表，允许各种数据采集和分析服务注册并扩展其功能; 并通过对用户请求进行调用，然后根据面板安全策略存储和分发结果，作为注册分析服务的客户端。

公开(公告)号：US07630867B2

公开(公告)日：2009-12-08

申请号：US11218015

申请日：2005-09-01

申请人： Clifford A. Behrens ,  Hyong-sop Shim

发明人： Clifford A. Behrens ,  Hyong-sop Shim

IPC分类号： G06F17/50

CPC分类号： G06Q10/10 ,  G09B5/00

摘要： A consensus-based knowledge validation and analysis system provides a way to increase use of collaboration tools among panels of experts by providing a system for analyzing and validating the responses of such experts to a set of questions. The system uses a set of response data input by a panel of experts with respect to a particular subject matter formatted in accordance with a data model as input. The response data set is used to estimate an empirical point estimate matrix indicative of the amount of agreement in the responses on all items between the panelists. The empirical point estimate matrix is used to estimate the saliency of the subject matter to panelists, the competency of each panelist and a consensus model of correct answers is based on the estimated competency of each panelist and the of responses for each item in the response data set. This consensus model is used to generate a knowledge map to aid visualization of the consensus data and encourage further collaboration and consensus building. The method is implemented in a web-based system that enables users of collaboration tools to send response data sets to the tool via the Internet or virtual private network and to likewise retrieve knowledge maps, panelist information and consensus data. An interactive feature enables users/panelists to collaborate with other panelists using the knowledge map as an interface to one or more collaboration tools such as instant messaging.

摘要翻译： 基于共识的知识验证和分析系统提供了一种方法，通过提供一个分析和验证这些专家对一系列问题的反应的系统来增加专家小组之间协作工具的使用。 该系统使用由专家小组输入的一组响应数据，该组专家根据作为输入的数据模型格式化的特定主题。 响应数据集用于估计表示在小组成员之间的所有项目的响应中的协议量的经验点估计矩阵。 经验点估计矩阵用于估计小组成员的主题的显着性，每位小组成员的能力和正确答案的一致性模型是基于每个小组成员的估计能力和响应数据中每个项目的响应 组。 这种共识模型用于生成知识图，以帮助可视化的共识数据，并鼓励进一步的协作和共识的建立。 该方法在基于Web的系统中实现，使得协作工具的用户能够通过因特网或虚拟专用网络将响应数据集发送到工具，并且同样地检索知识图，小组成员信息和共识数据。 交互功能使用户/小组成员可以使用知识图与其他小组成员进行协作，作为一个或多个协作工具（如即时消息）的界面。

公开(公告)号：US07970592B2

公开(公告)日：2011-06-28

申请号：US12608537

申请日：2009-10-29

申请人： Clifford A. Behrens ,  Hyong-sop Shim

发明人： Clifford A. Behrens ,  Hyong-sop Shim

IPC分类号： G06F17/50

CPC分类号： G06Q10/10 ,  G09B5/00

摘要： A consensus-based knowledge validation and analysis system provides a way to increase use of collaboration tools among panels of experts by providing a system for analyzing and validating the responses of such experts to a set of questions. The system uses a set of response data input by a panel of experts with respect to a particular subject matter formatted in accordance with a data model as input. The response data set is used to estimate an empirical point estimate matrix indicative of the amount of agreement in the responses on all items between the panelists. The empirical point estimate matrix is used to estimate the saliency of the subject matter to panelists, the competency of each panelist and a consensus model of correct answers is based on the estimated competency of each panelist and the of responses for each item in the response data set. This consensus model is used to generate a knowledge map to aid visualization of the consensus data and encourage further collaboration and consensus building. The method is implemented in a web-based system that enables users of collaboration tools to send response data sets to the tool via the Internet or virtual private network and to likewise retrieve knowledge maps, panelist information and consensus data. An interactive feature enables users/panelists to collaborate with other panelists using the knowledge map as an interface to one or more collaboration tools such as instant messaging.

摘要翻译： 基于共识的知识验证和分析系统提供了一种方法，通过提供一个分析和验证这些专家对一系列问题的反应的系统来增加专家小组之间协作工具的使用。 该系统使用由专家小组输入的一组响应数据，该组专家根据作为输入的数据模型格式化的特定主题。 响应数据集用于估计表示在小组成员之间的所有项目的响应中的协议量的经验点估计矩阵。 经验点估计矩阵用于估计小组成员的主题的显着性，每位小组成员的能力和正确答案的一致性模型是基于每个小组成员的估计能力和响应数据中每个项目的响应 组。 这种共识模型用于生成知识图，以帮助可视化的共识数据，并鼓励进一步的协作和共识的建立。 该方法在基于Web的系统中实现，使得协作工具的用户能够通过因特网或虚拟专用网络将响应数据集发送到工具，并且同样地检索知识图，小组成员信息和共识数据。 交互功能使用户/小组成员可以使用知识图与其他小组成员进行协作，作为一个或多个协作工具（如即时消息）的界面。

公开(公告)号：US20100305915A1

公开(公告)日：2010-12-02

申请号：US12608537

申请日：2009-10-29

申请人： Clifford A. Behrens ,  Hyong-sop Shim

发明人： Clifford A. Behrens ,  Hyong-sop Shim

IPC分类号： G06F17/50

CPC分类号： G06Q10/10 ,  G09B5/00

摘要： A consensus-based knowledge validation and analysis system provides a way to increase use of collaboration tools among panels of experts by providing a system for analyzing and validating the responses of such experts to a set of questions. The system uses a set of response data input by a panel of experts with respect to a particular subject matter formatted in accordance with a data model as input. The response data set is used to estimate an empirical point estimate matrix indicative of the amount of agreement in the responses on all items between the panelists. The empirical point estimate matrix is used to estimate the saliency of the subject matter to panelists, the competency of each panelist and a consensus model of correct answers is based on the estimated competency of each panelist and the of responses for each item in the response data set. This consensus model is used to generate a knowledge map to aid visualization of the consensus data and encourage further collaboration and consensus building. The method is implemented in a web-based system that enables users of collaboration tools to send response data sets to the tool via the Internet or virtual private network and to likewise retrieve knowledge maps, panelist information and consensus data. An interactive feature enables users/panelists to collaborate with other panelists using the knowledge map as an interface to one or more collaboration tools such as instant messaging.

摘要翻译： 基于共识的知识验证和分析系统提供了一种方法，通过提供一个分析和验证这些专家对一系列问题的反应的系统来增加专家小组之间协作工具的使用。 该系统使用由专家小组输入的一组响应数据，该组专家根据作为输入的数据模型格式化的特定主题。 响应数据集用于估计表示在小组成员之间的所有项目的响应中的协议量的经验点估计矩阵。 经验点估计矩阵用于估计小组成员的主题的显着性，每位小组成员的能力和正确答案的一致性模型是基于每个小组成员的估计能力和响应数据中每个项目的响应 组。 这种共识模型用于生成知识图，以帮助可视化的共识数据，并鼓励进一步的协作和共识的建立。 该方法在基于Web的系统中实现，使得协作工具的用户能够通过因特网或虚拟专用网络将响应数据集发送到工具，并且同样地检索知识图，小组成员信息和共识数据。 交互功能使用户/小组成员可以使用知识图与其他小组成员进行协作，作为一个或多个协作工具（如即时消息）的界面。

公开(公告)号：US07716221B2

公开(公告)日：2010-05-11

申请号：US11809455

申请日：2007-06-01

申请人： Clifford A. Behrens ,  Dennis E. Egan ,  Devasis Bassu

发明人： Clifford A. Behrens ,  Dennis E. Egan ,  Devasis Bassu

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30746 ,  G06F17/30681

摘要： Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.

摘要翻译： 索引，搜索和检索语音文档的内容（包括但不限于记录的书籍，音频广播，记录的对话）通过在概念层面上查找和检索与查询词相关的语音文档来实现，即使语音 文件不包含口头（或文字）查询条款。 使用基于概念的跨媒体信息检索。 术语音素/文件矩阵是由一组文件组成的。 然后将文档添加到从训练数据构建的矩阵中。 奇异值分解用于从术语 - 音素/文档矩阵中计算向量空间。 结果是一个低维数值空间，其中术语音素和文档向量在概念上作为最近的邻居相关。 查询引擎计算查询向量和空间中所有其他向量之间的余弦值，并返回具有最高余弦值的那些术语音素和/或文档的列表。

公开(公告)号：US07152065B2

公开(公告)日：2006-12-19

申请号：US10427595

申请日：2003-05-01

申请人： Clifford A. Behrens ,  Devasis Bassu

发明人： Clifford A. Behrens ,  Devasis Bassu

IPC分类号： G06F17/30

CPC分类号： G06F17/3071 ,  Y10S707/99935 ,  Y10S707/99943

摘要： The use of latent semantic indexing (LSI) for information retrieval and text mining operations is adapted to work on large heterogeneous data sets by first partitioning the data set into a number of smaller partitions having similar concept domains. A similarity graph network is generated in order to expose links between concept domains which are then exploited in determing which domains to query as well as in expanding the query vector. LSI is performed on those partitioned data sets most likely to contain information related to the user query or text mining operation. In this manner LSI can be applied to datasets that heretofore presented scalability problems. Additionally, the computation of the singular value decomposition of the term-by-document matrix can be accomplished at various distributed computers increasing the robustness of the retrieval and text mining system while decreasing search times.

摘要翻译： 利用潜在语义索引（LSI）进行信息检索和文本挖掘操作适用于大型异构数据集，首先将数据集划分为具有类似概念域的多个较小分区。 生成相似图网络，以便公开概念域之间的链接，然后利用这些链接来确定要查询的域以及扩展查询向量。 对最可能包含与用户查询或文本挖掘操作相关的信息的那些分区数据集执行LSI。 以这种方式，LSI可以应用于迄今为止呈现的可扩展性问题的数据集。 另外，逐个文档矩阵的奇异值分解的计算可以在各种分布式计算机上实现，从而增加检索和文本挖掘系统的鲁棒性，同时减少搜索时间。

公开(公告)号：US06615208B1

公开(公告)日：2003-09-02

申请号：US09653917

申请日：2000-09-01

申请人： Clifford A. Behrens ,  Dennis E. Egan ,  Yu-Yun Ho ,  Carol Lochbaum ,  Mark Rosenstein

发明人： Clifford A. Behrens ,  Dennis E. Egan ,  Yu-Yun Ho ,  Carol Lochbaum ,  Mark Rosenstein

IPC分类号： G06F1730

CPC分类号： G06F17/3069 ,  G06Q30/0631 ,  Y10S707/917 ,  Y10S707/99935

摘要： Techniques for using latent semantic structure of textual content ascribed to the items to provide automatic recommendations to the user. A user inputs a selected item and, in turn, a latent semantic algorithm is applied to the user selection and the textual content of the items in a database to generate a conceptual similarity between the selection and the items. A set of nearest items to the selected item is provided as a recommendation to the user of other items that may be of particular interest or relevance to the user's original selection based upon the conceptual similarity measure.

摘要翻译： 使用归结于项目的文本内容的潜在语义结构的技术来向用户提供自动推荐。 用户输入所选择的项目，并且潜在语义算法被应用于数据库中的项目的用户选择和文本内容以在选择和项目之间生成概念上的相似性。 基于概念相似性度量，向用户提供与所选项目相对应的一组最接近的项目，作为对用户原始选择特别感兴趣或相关的其他项目的推荐。