公开(公告)号：US07085771B2

公开(公告)日：2006-08-01

申请号：US10150795

申请日：2002-05-17

申请人： Christina Yip Chung ,  Jinhui Liu ,  Alpha Luk ,  Jianchang Mao ,  Sumit Taank ,  Vamsi Vutukuru

发明人： Christina Yip Chung ,  Jinhui Liu ,  Alpha Luk ,  Jianchang Mao ,  Sumit Taank ,  Vamsi Vutukuru

IPC分类号： F17

CPC分类号： G06F17/2785 ,  G06F17/30616 ,  G06F17/3071 ,  Y10S707/99937 ,  Y10S707/99943

摘要： The invention is a method, system and computer program for automatically discovering concepts from a corpus of documents and automatically generating a labeled concept hierarchy. The method involves extraction of signatures from the corpus of documents. The similarity between signatures is computed using a statistical measure. The frequency distribution of signatures is refined to alleviate any inaccuracy in the similarity measure. The signatures are also disambiguated to address the polysemy problem. The similarity measure is recomputed based on the refined frequency distribution and disambiguated signatures. The recomputed similarity measure reflects actual similarity between signatures. The recomputed similarity measure is then used for clustering related signatures. The signatures are clustered to generate concepts and concepts are arranged in a concept hierarchy. The concept hierarchy automatically generates query for a particular concept and retrieves relevant documents associated with the concept.

公开(公告)号：US20050256866A1

公开(公告)日：2005-11-17

申请号：US11082202

申请日：2005-03-15

申请人： Qi Lu ,  Eckart Walther ,  David Ku ,  Chung-Man Tam ,  Kevin Lee ,  Zhichen Xu ,  Ali Diab ,  Kenneth Norton ,  Jianchang Mao

发明人： Qi Lu ,  Eckart Walther ,  David Ku ,  Chung-Man Tam ,  Kevin Lee ,  Zhichen Xu ,  Ali Diab ,  Kenneth Norton ,  Jianchang Mao

IPC分类号： G06F17/30

CPC分类号： G06F17/30525 ,  G06F17/30867 ,  G06F17/30899 ,  H04L51/32

摘要： Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

摘要翻译： 计算机系统和方法包括关于各种页面或站点的用户注释（元数据），包括查询用户的注释以及为查询用户定义的用于搜索和浏览诸如万维网的语料库的信任网络的成员。 为每个用户定义信任网络，并且在搜索和/或浏览语料库期间使第一用户的信任网络的任何成员的注释对于第一用户可见。 用户还可以将搜索限制在其信任网络的成员注释的内容或由用户选择的社区的成员。

公开(公告)号：US5915039A

公开(公告)日：1999-06-22

申请号：US747350

申请日：1996-11-12

申请人： Raymond Amand Lorie ,  Jianchang Mao ,  Kottappuram Mohamedali Mohiuddin

发明人： Raymond Amand Lorie ,  Jianchang Mao ,  Kottappuram Mohamedali Mohiuddin

IPC分类号： G06K9/20 ,  G06K9/32 ,  G06K9/72

CPC分类号： G06K9/00463 ,  G06K9/32 ,  G06K2209/01

摘要： Fixed-pitch, fixed-font characters embedded in a noisy gray-scale image of picture elements (pels) within a complex background can be extracted prior to execution of any recognition operations by first deriving a normalized Boolean-coded image from the gray-scale image. Then, a subset of at least three uncontaminated character triples is formed by filtering the Boolean-coded image. Next, an affine transform is approximated from locations in the Boolean-coded image of at least three noncollinear ones of the uncontaminated character triples. Lastly, the locations in a logical matrix array of all possible character triples are estimated according to the affine transform.

摘要翻译： 在执行任何识别操作之前，可以提取嵌入在复杂背景中的图像元素（像素）的噪声灰度图像中的固定间距固定字体字符，首先从灰度级导出归一化布尔编码图像 图片。 然后，通过对布尔编码的图像进行滤波来形成至少三个未受污染的字符三元组的子集。 接下来，仿射变换从未受污染的字符三元组中的至少三个非共线图像的布尔编码图像中的位置近似。 最后，根据仿射变换估计所有可能的字符三元组的逻辑矩阵阵列中的位置。