公开(公告)号：US08423827B2

公开(公告)日：2013-04-16

申请号：US12647706

申请日：2009-12-28

Applicant: William P. Berriss ,  Matthew Duggan ,  Daniel Martin ,  David J. Pennell, Sr.

Inventor： William P. Berriss ,  Matthew Duggan ,  Daniel Martin ,  David J. Pennell, Sr.

IPC: G06F11/00

CPC classification number: G06F11/079 ,  G06F11/0709 ,  H04L41/0631 ,  H04L41/12 ,  H04L43/0811 ,  H04L43/16

Abstract: Method, apparatus and computer program product for correlating performance events in a data processing system. A first event is received at one of a first device and a second device of the data processing system, and a second event is received at one of the first device and the second device. A type of a connection between the first device and the second device is identified to form an identified type of connection, and a relationship between the first event and the second event is determined based on the identified type of connection between the first device and the second device.

Abstract translation: 用于在数据处理系统中关联性能事件的方法，装置和计算机程序产品。 在数据处理系统的第一设备和第二设备之一处接收第一事件，并且在第一设备和第二设备之一处接收第二事件。 识别第一设备和第二设备之间的连接的类型以形成所识别的连接类型，并且基于所识别的第一设备和第二设备之间的连接类型来确定第一事件和第二事件之间的关系 设备。

公开(公告)号：US20110258150A1

公开(公告)日：2011-10-20

申请号：US13007430

申请日：2011-01-14

Applicant: Depankar NEOGI ,  Steven K. LADD ,  Girish WELLING ,  Arjun KUMAR ,  Vartika SINGH ,  Matthew DUGGAN ,  Tushar MAHATA ,  Xiaobin YANG ,  Jian-Wu XU ,  Janice O'NEIL ,  Nirupam SARKAR ,  Gopal KRISHNA

Inventor： Depankar NEOGI ,  Steven K. LADD ,  Girish WELLING ,  Arjun KUMAR ,  Vartika SINGH ,  Matthew DUGGAN ,  Tushar MAHATA ,  Xiaobin YANG ,  Jian-Wu XU ,  Janice O'NEIL ,  Nirupam SARKAR ,  Gopal KRISHNA

IPC: G06F15/18

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: A method of training a document analysis system to extract data from documents is provided. The method includes: automatically analyzing images and text features extracted from a document to associate the document with a corresponding document category; comparing the extracted text features with a set of text features associated with corresponding category of the document, in which the set of text features includes a set of characters, words, and phrases; if the extracted features are found to consist of the characters, words, and phrases belonging to the set of text features associated with the corresponding document category, storing the extracted text features as the data contained in the corresponding document; and, if the extracted text features are found to include at least one text feature that does not belong to the set of text features associated with the corresponding document category, submitting the unrecognized text features to a training phase.

Abstract translation: 提供了一种培训文档分析系统从文档中提取数据的方法。 该方法包括：自动分析从文档中提取的图像和文本特征，将文档与相应的文档类别相关联; 将所提取的文本特征与与文档的相应类别相关联的一组文本特征进行比较，其中该组文本特征包括一组字符，单词和短语; 如果发现所提取的特征由属于与相应文档类别相关联的文本特征集合的字符，单词和短语组成，则将所提取的文本特征存储为包含在相应文档中的数据; 并且如果所提取的文本特征被发现包括不属于与相应文档类别相关联的一组文本特征的至少一个文本特征，则将未被识别的文本特征提交到训练阶段。

公开(公告)号：US20110255790A1

公开(公告)日：2011-10-20

申请号：US13007481

申请日：2011-01-14

Applicant: Matthew DUGGAN ,  Girish WELLING ,  Janice O'NEIL ,  Depankar NEOGI ,  Steven K. LADD

Inventor： Matthew DUGGAN ,  Girish WELLING ,  Janice O'NEIL ,  Depankar NEOGI ,  Steven K. LADD

IPC: G06K9/46

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: A method of grouping electronic document pages of a job that belong together is provided. The method includes: automatically analyzing images and text features extracted from each received electronic document page to associate the electronic document page with a corresponding document category; automatically identifying features extracted from the electronic document page that potentially indicate to which document group the electronic document page belongs; comparing the identified features with a set of group identifying features associated with corresponding document group, in which the set of group identifying features includes at least a set of page numbers and account numbers; and, if the identified features are found to include a set of a page number and an account number belonging to the set of group identifying features associated with the corresponding document group, grouping the electronic document page into the corresponding document group.

Abstract translation: 提供了归属于一起的作业的电子文档页面分组的方法。 该方法包括：自动分析从每个接收到的电子文档页面提取的图像和文本特征，以将电子文档页面与相应的文档类别相关联; 自动识别从电子文档页面提取的可能指示电子文档页面所属的文档组的特征; 将所识别的特征与与对应文档组相关联的一组组识别特征进行比较，其中所述组识别特征集合包括至少一组页码和帐号; 并且如果发现所识别的特征包括属于与相应文档组相关联的组识别特征的集合的页码和帐号的集合，则将电子文档页面分组到对应的文档组。

公开(公告)号：US20110255788A1

公开(公告)日：2011-10-20

申请号：US13007422

申请日：2011-01-14

Applicant: Matthew DUGGAN ,  Janice O'NEIL ,  Girish WELLING ,  Depankar NEOGI ,  Steven K. LADD

Inventor： Matthew DUGGAN ,  Janice O'NEIL ,  Girish WELLING ,  Depankar NEOGI ,  Steven K. LADD

IPC: G06K9/46

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to extract data from the electronic documents, a method of automatically extracting data from each received electronic document at least in part using data external to the electronic document but associated with the job containing the document is provided. The method includes: analyzing each electronic document in a job to automatically extract images and text features; and, if any of the images and text features extracted from the electronic document is not recognized, using data external to said document but associated with said job to identify the unrecognized feature, wherein the external source may be one of at least one other document in the job and a database having known values associated with the job.

Abstract translation: 在从多个用户接收和处理作业的文档分析系统中，其中每个作业可以包含多个电子文档，以从电子文档中提取数据;一种从每个接收到的电子文档中至少部分地使用 提供电子文档外部但与包含文档的作业相关联的数据。 该方法包括：分析作业中的每个电子文档以自动提取图像和文本特征; 并且如果从电子文档中提取的任何图像和文本特征不被识别，则使用所述文档外部但与所述作业相关联的数据来识别未被识别的特征，其中所述外部源可以是至少一个其他文档之一 该作业和具有与作业相关联的已知值的数据库。

公开(公告)号：US20120239797A1

公开(公告)日：2012-09-20

申请号：US13047267

申请日：2011-03-14

Applicant: Dakshi AGRAWAL ,  Matthew DUGGAN ,  Vasileios PAPPAS ,  Mudhakar SRIVATSA ,  Kristian Jon STEWART ,  Murtaza ZAFER

Inventor： Dakshi AGRAWAL ,  Matthew DUGGAN ,  Vasileios PAPPAS ,  Mudhakar SRIVATSA ,  Kristian Jon STEWART ,  Murtaza ZAFER

IPC: G06F15/16

CPC classification number: H04L41/12 ,  H04L41/145

Abstract: Network management data is managed by determining that a first version and a second version of a set of network management data have been created. The set of network management data is associated with a plurality of managed entities in a network. First and second network graphs are created based on the first version and second version of the set of network management data, respectively. The first and second network graphs include a first and second set of entities in the plurality of managed entities, respectively. A similarity metric is assigned between at least one or more entities in the first and second set of entities. At least a first entity in the first set of entities and at least a second entity in the second set of entities are determined to be identical entities based on the similarity metric being one of equal to and above a first given threshold.

Abstract translation: 通过确定网络管理数据集合的第一版本和第二版本已被创建来管理网络管理数据。 该组网络管理数据与网络中的多个被管理实体相关联。 分别基于网络管理数据集的第一版本和第二版本来创建第一和第二网络图。 第一和第二网络图分别包括多个被管实体中的第一和第二组实体。 在第一和第二组实体中的至少一个或多个实体之间分配相似性度量。 第一组实体中的至少第一实体和第二组实体中的至少第二实体基于相似性度量被确定为相同的实体，其等于和高于第一给定阈值。

公开(公告)号：US20110258182A1

公开(公告)日：2011-10-20

申请号：US13007330

申请日：2011-01-14

Applicant: Vartika Singh ,  Matthew Duggan ,  Girish Welling ,  Depankar Neogi ,  Steven K. Ladd

Inventor： Vartika Singh ,  Matthew Duggan ,  Girish Welling ,  Depankar Neogi ,  Steven K. Ladd

IPC: G06F17/30

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to extract data from the electronic documents, a method of extracting data from a received electronic document page that includes multiple copies of a form is provided. The method comprising: automatically processing a received electronic document page that includes multiple copies of a form to group the multiple copies into corresponding number of records; automatically extracting data from each of the multiple copies of the form and saving the extracted data into the corresponding record; automatically comparing the extracted data in the records to determine which copy of the extracted data to select; if all extracted data instances are identical, assigning a high confidence score to the extracted data; and, if all extracted data instances are not identical, flagging the extracted data for a further processing.

Abstract translation: 在从多个用户接收和处理作业的文档分析系统中，每个作业可以包含多个电子文档，从电子文档中提取数据，从接收到的电子文档页面提取数据的方法包括多个副本 提供一种表格。 该方法包括：自动处理接收到的电子文档页面，该电子文档页面包括多个副本，以将多个副本分组成相应数量的记录; 自动从表单的多个副本中提取数据，并将提取的数据保存到相应的记录中; 自动比较记录中提取的数据，以确定提取的数据的哪个副本进行选择; 如果所有提取的数据实例是相同的，则向提取的数据分配高置信度分数; 并且如果所有提取的数据实例不相同，则标记提取的数据以进行进一步处理。

公开(公告)号：US20110258170A1

公开(公告)日：2011-10-20

申请号：US13007399

申请日：2011-01-14

Applicant: Matthew DUGGAN ,  Janice O'NEIL ,  Girish WELLING ,  Depankar NEOGI ,  Steven K. LADD

Inventor： Matthew DUGGAN ,  Janice O'NEIL ,  Girish WELLING ,  Depankar NEOGI ,  Steven K. LADD

IPC: G06F17/30

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to extract data from the electronic documents, a method of automatically correcting the extracted data using known constraints amongst semantics of extracted data elements is provided. The method includes: analyzing each electronic document in a job to automatically extract data; automatically analyzing the extracted data to identify incorrectly extracted data elements using rules defining constraints amongst semantics of extracted data elements; and automatically attempting to correct the incorrectly extracted data elements using the rules.

Abstract translation: 在从多个用户接收和处理作业的文档分析系统中，其中每个作业可以包含多个电子文档，以从电子文档中提取数据;使用提取的数据的语义之间的已知约束自动校正所提取的数据的方法 提供元素。 该方法包括：分析作业中的每个电子文档以自动提取数据; 自动分析所提取的数据以使用规定所提取的数据元素的语义之间的约束的规则来识别不正确地提取的数据元素; 并自动尝试使用规则纠正提取不正确的数据元素。

公开(公告)号：US20110255789A1

公开(公告)日：2011-10-20

申请号：US13007443

申请日：2011-01-14

Applicant: Depankar NEOGI ,  Steven K. LADD ,  Girish WELLING ,  Arjun KUMAR ,  Vartika SINGH ,  Matthew DUGGAN ,  Tushar MAHATA ,  Xiaobin YANG ,  Jian-Wu XU ,  Janice O'NEIL ,  Nirupam SARKAR ,  Gopal KRISHNA

Inventor： Depankar NEOGI ,  Steven K. LADD ,  Girish WELLING ,  Arjun KUMAR ,  Vartika SINGH ,  Matthew DUGGAN ,  Tushar MAHATA ,  Xiaobin YANG ,  Jian-Wu XU ,  Janice O'NEIL ,  Nirupam SARKAR ,  Gopal KRISHNA

IPC: G06K9/46

CPC classification number: G06K9/00442 ,  G06K9/48 ,  G06K9/72 ,  G06K2209/01

Abstract: A method of automatically extracting data from an electronic document containing a plurality of layout features through progressive refinement is provided. The method includes: analyzing each document to automatically extract images and text features wherein each document includes at least two features that are related to each other, and wherein said analyzing compares extracted features with a first search space of candidate features to try and recognize the extracted features; if one of the at least two related features is not recognized and at least one feature is recognized, selecting a second search space of candidate features in response thereto and in response to predefined rules about the relationship between the two features; and comparing the unrecognized feature with said selected second search space.

Abstract translation: 提供了一种通过逐步细化从包含多个布局特征的电子文档中自动提取数据的方法。 该方法包括：分析每个文档以自动提取图像和文本特征，其中每个文档包括彼此相关的至少两个特征，并且其中所述分析将提取的特征与候选特征的第一搜索空间进行比较，以尝试并识别所提取的 特征; 如果不识别至少两个相关特征中的一个并且识别出至少一个特征，则响应于此选择候选特征的第二搜索空间并且响应于关于两个特征之间的关系的预定规则; 以及将所述无法识别的特征与所述选择的第二搜索空间进行比较。

公开(公告)号：US20110161741A1

公开(公告)日：2011-06-30

申请号：US12647706

申请日：2009-12-28

Applicant: William P. Berriss ,  Matthew Duggan ,  Daniel Martin ,  David J. Pennell, SR.

Inventor： William P. Berriss ,  Matthew Duggan ,  Daniel Martin ,  David J. Pennell, SR.

IPC: G06F11/28 ,  G06F11/00

CPC classification number: G06F11/079 ,  G06F11/0709 ,  H04L41/0631 ,  H04L41/12 ,  H04L43/0811 ,  H04L43/16

Abstract: Method, apparatus and computer program product for correlating performance events in a data processing system. A first event is received at one of a first device and a second device of the data processing system, and a second event is received at one of the first device and the second device. A type of a connection between the first device and the second device is identified to form an identified type of connection, and a relationship between the first event and the second event is determined based on the identified type of connection between the first device and the second device.

Abstract translation: 用于在数据处理系统中关联性能事件的方法，装置和计算机程序产品。 在数据处理系统的第一设备和第二设备之一处接收第一事件，并且在第一设备和第二设备之一处接收第二事件。 识别第一设备和第二设备之间的连接的类型以形成所识别的连接类型，并且基于所识别的第一设备和第二设备之间的连接类型来确定第一事件和第二事件之间的关系 设备。

公开(公告)号：US20090201541A1

公开(公告)日：2009-08-13

申请号：US12351302

申请日：2009-01-09

Applicant: Depankar NEOGI ,  Steven K. LADD ,  Arjun KUMAR ,  Matthew DUGGAN

Inventor： Depankar NEOGI ,  Steven K. LADD ,  Arjun KUMAR ,  Matthew DUGGAN

IPC: G06F3/12 ,  H04N1/04

CPC classification number: H04N1/00811 ,  G06K9/00993 ,  G06K9/036 ,  H04N1/00204 ,  H04N1/00244 ,  H04N1/00795 ,  H04N1/00973 ,  H04N2201/0046

Abstract: A method of controlling a scanner to improve automatic recognition and classification of scanned physical documents for a document analysis system, which receives and processes jobs containing at least one electronic document from a plurality of users to automatically recognize and classify the job documents into document categories, is disclosed. The method comprises, using a scan control system, obtaining the capability of, and existing scanner settings for, the scanner upon receiving a command to initiate scanning of physical documents; saving the existing scanner settings of the scanner; automatically commanding the scanner to use new scanner settings, wherein the new scanner settings are selected in accordance with the capability of the recognition system; commanding the scanner to begin scanning operation with the new scanner settings; and automatically resetting the scanner settings of the scanner back to the saved existing scanner settings upon completing of the scanning operation.

Abstract translation: 一种控制扫描器以提高文档分析系统的扫描物理文档的自动识别和分类的方法，该文档分析系统从多个用户接收并处理包含至少一个电子文档的作业，以将作业文档自动识别和分类为文档类别， 被披露。 该方法包括：在接收到启动扫描物理文件的命令时，使用扫描控制系统获得扫描仪的能力和扫描仪设置; 保存扫描仪的现有扫描仪设置; 自动命令扫描仪使用新的扫描仪设置，其中根据识别系统的能力选择新的扫描仪设置; 命令扫描仪使用新的扫描仪设置开始扫描操作; 并在完成扫描操作后自动将扫描仪的扫描仪设置重置回保存的现有扫描仪设置。