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1. 发明申请

WO2009059481A1 NAVIGATIONAL RANKING FOR FOCUSED CRAWLING 审中-公开
标题翻译：用于聚焦的导航的导航排名
公开(公告)号：WO2009059481A1
公开(公告)日：2009-05-14
申请号：PCT/CN2007/071033
申请日：2007-11-08
申请人： SHANGHAI HEWLETT-PACKARD CO., LTD , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , ZHANG, Li , FENG, Shi Cong , XIONG, Yuhong
发明人： ZHANG, Li , FENG, Shi Cong , XIONG, Yuhong
IPC分类号： G06F17/30
CPC分类号： G06F17/30861 , G06F17/30321 , G06F17/30327 , G06F17/30864 , G06F17/3089 , G06F17/30899
摘要： Systems and methods of navigational ranking for focused crawling are disclosed In an exemplary embodiment, a method may include using a classifier to distinguish at least one target web page from other web pages on a website The method may also include modeling the web pages on the website by a directed graph G = (V, E), wherein each web page is represented by a vertex (V), and a link between two web pages is represented by an edge (E). The method may also include assigning each web page (u) in V is assigned a weight p(u) based on the classifier to calculate a navigational ranking indicating relevance of a web page.
摘要翻译：公开了用于集中爬行的导航排名的系统和方法。在示例性实施例中，方法可以包括使用分类器来区分至少一个目标网页与网站上的其他网页。该方法还可以包括对网站上的网页进行建模通过有向图G =（V，E），其中每个网页由顶点（V）表示，并且两个网页之间的链接由边缘（E）表示。该方法还可以包括分配V中的每个网页（u）基于分类器分配权重p（u），以计算指示网页的相关性的导航排名。

2. 发明申请

WO2009059480A1 URL AND ANCHOR TEXT ANALYSIS FOR FOCUSED CRAWLING 审中-公开
标题翻译：网址和锚定文本分析用于聚焦CRAWLING
公开(公告)号：WO2009059480A1
公开(公告)日：2009-05-14
申请号：PCT/CN2007/071031
申请日：2007-11-08
申请人： SHANGHAI HEWLETT-PACKARD CO., LTD , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , FENG, Shi Cong , XIONG, Yuhong , ZHANG, Li
发明人： FENG, Shi Cong , XIONG, Yuhong , ZHANG, Li
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Systems and methods of URL and anchor text analysis for focused crawling are disclosed In an exemplary embodiment, a method may include training a focused crawler by obtaining a training set of at least URL's or anchor text for a website, computing a score for the training set, and extracting a plurality of features of the training set, and computing a score for each of the plurality of features The features identify key information contained in the website The method may also include executing a trained focused crawler on other websites.
摘要翻译：公开了用于集中爬行的URL和锚文本分析的系统和方法。在示例性实施例中，一种方法可以包括通过获取至少一个网站的URL或锚文本的训练集来训练聚焦的爬虫，计算训练集的得分并且提取所述训练集合的多个特征，以及计算所述多个特征中的每一个的分数。所述特征识别所述网站中包含的关键信息。所述方法还可以包括在其他网站上执行训练有素的聚焦爬虫。

3. 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。

4. 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。

5. 发明申请

WO2010130083A1 DOCUMENT KEY PHRASE EXTRACTION METHOD 审中-公开
标题翻译：文献关键词提取方法
公开(公告)号：WO2010130083A1
公开(公告)日：2010-11-18
申请号：PCT/CN2009/071744
申请日：2009-05-12
申请人： SHANGHAI HEWLETT-PACKARD CO., LTD , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , ZHOU, Bao-Yao , LUO, Ping , YANG, Sheng-Wen , XIONG, Yuhong , LIU, Wei
发明人： ZHOU, Bao-Yao , LUO, Ping , YANG, Sheng-Wen , XIONG, Yuhong , LIU, Wei
IPC分类号： G06F17/30
CPC分类号： G06F17/2705 , G06F17/2745 , G06F17/30327 , G06F17/30961 , G06N5/022
摘要： A computer-implemented method of extracting key phrases from a document is disclosed comprising the steps of accessing a repository comprising linked subjects, the repository comprising first and second data structures representing the relationship between said subjects using different representation criteria; pruning the first data structure by removing links between subjects based on a further relationship between said subjects in the second data structure; matching phrases in said document to subjects in the pruned first data structure; further pruning the pruned first data structure by removing unmatched subjects that are not linked to matched subjects; determining a ranking for each matched subject; and selecting key phrases using the determined subject rankings. A computer program for implementing the steps of this method when executed on a computer is also disclosed.
摘要翻译：公开了一种从文档中提取关键短语的计算机实现的方法，包括以下步骤：访问包含链接对象的存储库，所述存储库包括表示使用不同表示标准的所述对象之间的关系的第一和第二数据结构; 基于所述第二数据结构中的所述对象之间的进一步关系，通过去除主体之间的链接来修剪第一数据结构; 将所述文档中的短语与修剪的第一数据结构中的对象匹配; 通过删除与匹配对象无关的不匹配的主题，进一步修剪已修剪的第一个数据结构; 确定每个匹配对象的排名; 并使用确定的受试者排名选择关键短语。还公开了一种用于在计算机上执行时实现该方法的步骤的计算机程序。

6. 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。

7. 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。

8. 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。

9. 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。

10. 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。

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