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1. 发明申请

WO2011063561A1 DATA EXTRACTION METHOD, COMPUTER PROGRAM PRODUCT AND SYSTEM 审中-公开
标题翻译：数据提取方法，计算机程序产品和系统
公开(公告)号：WO2011063561A1
公开(公告)日：2011-06-03
申请号：PCT/CN2009/075117
申请日：2009-11-25
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L. P. , JIAO, Li-Mei , XIONG, Yuhong
发明人： JIAO, Li-Mei , XIONG, Yuhong
IPC分类号： G06F17/30
CPC分类号： G06F17/30896
摘要： Disclosed is a method of automatically extracting data from a target web page, comprising selecting (302) data in a source web page; determining (304) the respective DOM (document object model) trees of the source and target web page, and identifying the one or more nodes comprising the selected data in the source web page DOM tree; determining (306) matching paths in the respective DOM trees; for selected data in a node of an unmatched branch of the source web page DOM tree, identifying (308) the nearest matched path in the source web page; identifying (310) the unmatched branch nearest to the corresponding matched path in the target web page; determining (312) if said identified unmatched branch in the target web page DOM tree comprises a target node matching the selected data node; and if so: extracting (322) data from the target node if the mismatch between the respective unmatched branches does not exceed a predefined threshold. A computer program product and system implementing this method are also disclosed.
摘要翻译：公开了一种从目标网页自动提取数据的方法，包括在源网页中选择（302）数据; 确定（304）源和目标网页的相应DOM（文档对象模型）树，以及在源网页DOM树中标识包括所选数据的一个或多个节点; 确定（306）相应DOM树中的匹配路径; 对于源网页DOM树的不匹配分支的节点中的选定数据，识别（308）源网页中最近的匹配路径; 识别（310）最接近目标网页中相应匹配路径的不匹配分支; 确定（312）如果所述目标网页DOM树中的所述识别的不匹配分支包括与所选数据节点匹配的目标节点; 如果是：如果各个不匹配的分支之间的不匹配没有超过预定义的阈值，则从目标节点提取（322）数据。还公开了一种实现该方法的计算机程序产品和系统。

2. 发明申请

WO2012012911A1 PRODUCING WEB PAGE CONTENT 审中-公开
标题翻译：制作网页内容
公开(公告)号：WO2012012911A1
公开(公告)日：2012-02-02
申请号：PCT/CN2010/001143
申请日：2010-07-28
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , FAN, Jian , LUO, Ping , ZHENG, Liwei , LIU, Samson, J. , LIM, Sukhwan , LIU, Jerry, J , XIONG, Yuhong
发明人： FAN, Jian , LUO, Ping , ZHENG, Liwei , LIU, Samson, J. , LIM, Sukhwan , LIU, Jerry, J , XIONG, Yuhong
IPC分类号： G06F17/00
CPC分类号： G06F17/21 , G06F17/212 , G06F17/227 , G06F17/30896
摘要： A method for producing web page content includes identifying blocks within a web page. The blocks are selectively assembled into sections. The sections are selectively assembled into article candidates. An article candidate that includes article content is distinguished from article candidates that do not include article content. Content is produced only from the article candidate distinguished as including article content.
摘要翻译：用于产生网页内容的方法包括识别网页内的块。块被选择性地组装成部分。这些部分被选择性地组装成文章候选人。包含文章内容的文章候选人与不包含文章内容的文章候选人区分开来。内容仅从作为包含文章内容的文章候选人生成。

3. 发明申请

WO2012000185A1 METHOD AND SYSTEM OF DETERMINING SIMILARITY BETWEEN ELEMENTS OF ELECTRONIC DOCUMENT 审中-公开
标题翻译：确定电子文件元素之间相似性的方法和系统
公开(公告)号：WO2012000185A1
公开(公告)日：2012-01-05
申请号：PCT/CN2010/074813
申请日：2010-06-30
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY,L.P. , JIN, Jian-Ming , LIM, Suk Hwan , ZHENG, Li-Wei , FAN, Jian , O'BRIEN-STRAIN, Eamonn , XIONG, Yuhong , LIU, Jerry J
发明人： JIN, Jian-Ming , LIM, Suk Hwan , ZHENG, Li-Wei , FAN, Jian , O'BRIEN-STRAIN, Eamonn , XIONG, Yuhong , LIU, Jerry J
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30864
摘要： Disclosed is a computer-implemented method of determining similarity between first and second elements of an electronic document. The method uses a computer to calculate a plurality of measures of similarity between the first and second elements in at least two representations of the electronic document. A computer program product and system implementing this method are also disclosed.
摘要翻译：公开了一种计算机实现的确定电子文档的第一和第二元素之间的相似性的方法。该方法使用计算机来计算电子文档的至少两个表示中的第一和第二元素之间的多个相似度量度。还公开了一种实现该方法的计算机程序产品和系统。

4. 发明申请

WO2011020237A1 COMMUNICATING ELECTRONIC MAIL 审中-公开
标题翻译：通信电子邮件
公开(公告)号：WO2011020237A1
公开(公告)日：2011-02-24
申请号：PCT/CN2009/073314
申请日：2009-08-18
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , JIN, Jian Ming , XIONG, Yuhong , HOU, Hui Man , LIU, Wei
发明人： JIN, Jian Ming , XIONG, Yuhong , HOU, Hui Man , LIU, Wei
IPC分类号： H04L12/58
CPC分类号： H04L12/5855 , H04L51/14
摘要： Proposed is the use of an email-stamp for representing an email address. By comprising information about one or more email addresses of a recipient, an email stamp may be processed in accordance with an optical recognition process so as to identify the email address of the recipient and enable an email to be automatically sent to the recipient.
摘要翻译：建议使用电子邮件标签来表示电子邮件地址。通过包括关于接收者的一个或多个电子邮件地址的信息，可以根据光学识别过程来处理电子邮件戳记，以便识别接收者的电子邮件地址，并使电子邮件能够自动发送给接收者。

5. 发明申请

WO2011006300A1 ACRONYM EXTRACTION 审中-公开
标题翻译： ACRONYM提取
公开(公告)号：WO2011006300A1
公开(公告)日：2011-01-20
申请号：PCT/CN2009/072782
申请日：2009-07-16
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , FENG, Shi-Cong , XIONG, Yuhong , LIU, Wei
发明人： FENG, Shi-Cong , XIONG, Yuhong , LIU, Wei
IPC分类号： G06F17/30 , H04L29/06
CPC分类号： G06F17/277 , G06F17/2247
摘要： Disclosed is a system and computer-i mplemented method for extracting an 5 acronym and one or more corresponding expansions of the acronym from a document represented in a markup language. The computer-implemented method comprises: identify ing at least one acronym contained in the document; determining one or more expansions of the at least one identified acronym based on a portion of document located proximat e the identified acronym; determining a 10 ranking for each determined expansion based attributes of the document; and selecting one or more expansions for an identified acronym using the determined rankings.
摘要翻译：公开了一种用于从以标记语言表示的文档中提取首字母缩略词的5个首字母缩略词和一个或多个相应扩展的系统和计算机实现方法。计算机实现的方法包括：识别文档中包含的至少一个首字母缩略词; 基于位于所识别的首字母缩略词附近的文档的一部分来确定所述至少一个所标识的首字母缩略词的一个或多个扩展; 确定文档的每个确定的基于扩展的属性的10个排名; 并使用确定的排名为所识别的首字母缩写选择一个或多个扩展。

6. 发明申请

WO2010048758A1 CLASSIFICATION OF A DOCUMENT ACCORDING TO A WEIGHTED SEARCH TREE CREATED BY GENETIC ALGORITHMS 审中-公开
标题翻译：根据遗传算法创建的加权搜索树的文档分类
公开(公告)号：WO2010048758A1
公开(公告)日：2010-05-06
申请号：PCT/CN2008/072888
申请日：2008-10-31
申请人： SHANGHAI HEWLETT-PACKARD CO., LTD , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WU, Ren , YANG, Shengwen , XIONG, Yuhong , ZHANG, Li
发明人： WU, Ren , YANG, Shengwen , XIONG, Yuhong , ZHANG, Li
IPC分类号： G06F17/30
CPC分类号： G06F17/30707
摘要： A device for classifying a document co mprises a module to generate a data tree structure and configured to assign terms to a first plurality of nodes of the data tree structure, where each of the first plur ality of nodes is assigned a weight. In assigning the weights of the first plurality of nodes, a first generation of combinations of possible weights assignable as the weights of the first plurality of nodes is obtained, and a second generation of combinations of possible weights assignable as the weights of the first plur ality of nodes is obtained by performing the genetic algorithms in the first generation of combinations of possible weights. The device determines whether the document is in a document class based at least the weights of the first plurality of nodes.
摘要翻译：用于对文档进行分类的装置包括模块以生成数据树结构并且被配置为将条件分配给数据树结构的第一多个节点，其中每个节点的第一个冗余被分配权重。在分配第一多个节点的权重时，获得可分配为第一多个节点的权重的可能权重的组合的第一代，以及可分配权重的组合的第二代，其可分配为第一多个节点的权重通过在第一代可能权重的组合中执行遗传算法来获得节点。该装置至少基于第一多个节点的权重来确定文档是否在文档类中。

7. 发明申请

WO2009079875A1 SYSTEMS AND METHODS FOR EXTRACTING PHRASES FROM TEXT 审中-公开
标题翻译：从文本提取词典的系统和方法
公开(公告)号：WO2009079875A1
公开(公告)日：2009-07-02
申请号：PCT/CN2007/071233
申请日：2007-12-14
申请人： SHANGHAI HEWLETT-PACKARD CO., LTD , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , ZHANG, Li , XIONG, Yuhong , WANG, Wei-Chun
发明人： ZHANG, Li , XIONG, Yuhong , WANG, Wei-Chun
IPC分类号： G06F17/30
CPC分类号： G06F17/30985 , G06F17/30702
摘要： Systems and methods for extracting phrases from text are disclosed In an exemplary embodiment, a method may include preprocessing desired phrases into at least one phrase indexing data structure for efficient matching. The method may also include scanning text to construct a hash table including keys and corresponding entries. The method may also include locating suffix trie trees for each word in the hash table. The method may also include matching each position in the hash table against the suffix trie trees, and outputting phrases matched in the scanned text.
摘要翻译：公开了从文本中提取短语的系统和方法。在示例性实施例中，方法可以包括将期望的短语预处理成至少一个短语索引数据结构以进行有效的匹配。该方法还可以包括扫描文本以构造包括密钥和对应条目的哈希表。该方法还可以包括为散列表中的每个单词定位后缀特里树。该方法还可以包括将哈希表中的每个位置与后缀特里树相匹配，并输出在扫描文本中匹配的短语。

8. 发明申请

WO2012061983A1 SEED SET EXPANSION 审中-公开
标题翻译：种子膨胀
公开(公告)号：WO2012061983A1
公开(公告)日：2012-05-18
申请号：PCT/CN2010/078595
申请日：2010-11-10
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , YAO, Cong-Lei , XIONG, Yuhong , ZHENG, Li-Wei
发明人： YAO, Cong-Lei , XIONG, Yuhong , ZHENG, Li-Wei
IPC分类号： G06F17/27
CPC分类号： G06F17/30442 , G06F17/30896
摘要： Systems and methods for seed set expansion are provided. A context-based extractor (22) generates a set of context-based candidate members of a seed set from a set of web pages associated with an organization as words connected with a seed set member by a contextual pattern and a context confidence value for each candidate member. A list-based extractor (24) generates a set of list-based candidate members from elements within a plurality of lists in the set of web pages and a list confidence value associated with each candidate member. A confidence arbitrator (26) determines an intersection set of candidate members present in both sets of candidate members and determines a final confidence value for each of the intersection set of candidate members based on their respective context confidence value and list confidence value. A candidate selector (28) selects a candidate member for inclusion in a seed set (21).
摘要翻译：提供种子扩张的系统和方法。基于上下文的提取器（22）从与组织相关联的一组网页生成一组基于上下文的候选成员，作为通过上下文模式和每个上下文置信度值与种子集成员连接的单词候选人。基于列表的提取器（24）从网页集合中的多个列表内的元素和与每个候选成员相关联的列表置信度值生成一组基于列表的候选成员。置信度仲裁器（26）确定存在于两组候选成员中的候选成员的交集，并且基于它们各自的上下文置信度值和列表置信度值来确定候选成员的交集中的每一个的最终置信度值。候选选择器（28）选择候选成员包括在种子集（21）中。

9. 发明申请

WO2012034280A1 DIGITAL WATERMARKING 审中-公开
标题翻译：数字水印
公开(公告)号：WO2012034280A1
公开(公告)日：2012-03-22
申请号：PCT/CN2010/076982
申请日：2010-09-16
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , HOU, Hui-Man , JIN, Jian-Ming , XIONG, Yuhong
发明人： HOU, Hui-Man , JIN, Jian-Ming , XIONG, Yuhong
IPC分类号： G06T1/00
CPC分类号： G06T1/0021 , G06T1/005 , G06T2201/0051 , G06T2201/0061 , H04N1/32213 , H04N1/32251 , H04N1/32309
摘要： A method for embedding, using a processor, digital watermark data into image data representing a number of pixels, each of which has respective saturation values is disclosed. The method comprises the following steps: a) using said processor, dividing the image into blocks of pixels of a predefined size; b) for each block, using said processor to select one of a plurality of saturation patterns representing the binary value of one or more bits of the digital watermark data corresponding to the block; and c) for each block, using said processor to embed the binary value of the one or more bits of corresponding digital watermark data into the block by adjusting the saturation of pixels within each block in accordance with the selected pattern.
摘要翻译：公开了一种将处理器将数字水印数据嵌入到表示多个像素的图像数据中的方法，每个像素具有相应的饱和度值。该方法包括以下步骤：a）使用所述处理器，将图像划分成预定尺寸的像素块; b）对于每个块，使用所述处理器选择表示对应于块的数字水印数据的一个或多个比特的二进制值的多个饱和度模式中的一个; 以及c）对于每个块，使用所述处理器通过根据所选择的模式调整每个块内的像素的饱和度将相应数字水印数据的一个或多个比特的二进制值嵌入到块中。

10. 发明申请

WO2011134141A1 METHOD OF EXTRACTING NAMED ENTITY 审中-公开
标题翻译：提取有名实体的方法
公开(公告)号：WO2011134141A1
公开(公告)日：2011-11-03
申请号：PCT/CN2010/072235
申请日：2010-04-27
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY,L.P. , YAO, Cong-Lei , XIONG, Yuhong , ZHENG, Li-Wei
发明人： YAO, Cong-Lei , XIONG, Yuhong , ZHENG, Li-Wei
IPC分类号： G06F17/30
CPC分类号： G06N5/048 , G06F17/278
摘要： Presented is a method of extracting named entities from a large-scale document corpus. The method includes identifying named entities in the corpus and forming a set of seed entities manually or automatically using some existing resources, constructing a named entity graph to discover same-type probability between any given pair of named entities, expanding the set of seed entities and performing a confidence propagation of the seed entities on the named entity graph.
摘要翻译：提出的是从大型文档语料库中提取命名实体的方法。该方法包括识别语料库中的命名实体，并使用一些现有资源手动或自动地形成一组种子实体，构建命名实体图，以发现任何给定的一对命名实体之间的相似概率，扩展种子实体集合在命名实体图上执行种子实体的置信度传播。

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