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1. 发明申请

US20090204595A1 Method and apparatus for tracking a change in a collection of web documents 有权
标题翻译：跟踪Web文档集合中的变化的方法和装置
公开(公告)号：US20090204595A1
公开(公告)日：2009-08-13
申请号：US12027316
申请日：2008-02-07
申请人： Bernhard Dombrowski , Karl Klug , Michal Skubacz , Peter Suda , Jurgen Totzke , Cai-Nicolas Ziegler
发明人： Bernhard Dombrowski , Karl Klug , Michal Skubacz , Peter Suda , Jurgen Totzke , Cai-Nicolas Ziegler
IPC分类号： G06F17/30
CPC分类号： G06F17/3089
摘要： A method and an apparatus for tracking changes in a collection of web documents, for example, provided by a web site. The web documents are retrieved at a first assigned point in time and a second assigned point in time. Then a similarity measure for a combination of a retrieved web document at a first assigned point in time and a retrieved web document at a second assigned point in time is calculated for determining pairs of corresponding web documents. By comparing said calculated similarity measure of a pair of corresponding web documents with predetermined thresholds for the similarity measure a change in the content of the corresponding web document between the first assigned point in time and second assigned point in time is detected. Instead of referring to identifiers like URLs for web pages the content similarities of web pages are considered. The proposed strategy facilitates the work of marketing analysts.
摘要翻译：用于跟踪网站文档集合中的变化的方法和装置，例如由网站提供的。在第一个分配的时间点和第二个分配的时间点检索网络文档。然后，计算用于在第一分配时间点检索到的web文档和在第二分配时间点的检索到的web文档的组合的相似性度量，以确定对应的web文档对。通过将一对相应的web文档的所述计算的相似性度量与相似性度量的预定阈值进行比较，检测在第一分配时间点和第二指定时间点之间的对应web文档的内容的变化。不考虑网页的URL等标识符，而是考虑网页的内容相似性。拟议的战略有助于营销分析师的工作。

2. 发明申请

US20090198593A1 Method and apparatus for comparing entities 审中-公开
标题翻译：用于比较实体的方法和装置
公开(公告)号：US20090198593A1
公开(公告)日：2009-08-06
申请号：US12012181
申请日：2008-01-31
申请人： Karl Klug , Michal Skubacz , Peter Suda , Jurgen Tolzke , Cai-Nicolas Ziegler
发明人： Karl Klug , Michal Skubacz , Peter Suda , Jurgen Tolzke , Cai-Nicolas Ziegler
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0601
摘要： A method and apparatus for comparing entities, such as companies or trademarks, based on available pricing and feature information regarding goods or services provided by the companies. Web services, e.g. price finding robots, are employed to obtain pricing and feature information for similar products from different companies. Products having similar features but derive from different companies can be grouped to clusters and be analyzed with respect to average pricing levels. Data formats for pricing and feature information stemming from different web services may be automatically retrieved and mapped into a common format. The method allows to evaluate systematic deviations in the company's pricing policies or to detect if companies do not have a matching product portfolio. One can also estimate the prestige or acceptance of a company or brand as a function of prices tolerated by the underlying market. This may facilitate marketing strategies.
摘要翻译：根据公司提供的商品或服务的可用定价和特征信息，比较公司或商标等实体的方法和装置。 Web服务，例如价格寻找机器人，被用来获取来自不同公司的类似产品的定价和特征信息。具有相似特征但来自不同公司的产品可以分组到集群中，并根据平均价格水平进行分析。来自不同网络服务的定价和特征信息的数据格式可以自动检索并映射成通用格式。该方法允许评估公司定价政策的系统偏差，或者检测公司是否没有匹配的产品组合。人们还可以估计一个公司或品牌的威信或接受程度，作为潜在市场容忍的价格的函数。这可能有助于营销策略。

3. 发明授权

US08886660B2 Method and apparatus for tracking a change in a collection of web documents 有权
标题翻译：跟踪Web文档集合中的变化的方法和装置
公开(公告)号：US08886660B2
公开(公告)日：2014-11-11
申请号：US12027316
申请日：2008-02-07
申请人： Bernhard Dombrowski , Karl Klug , Michal Skubacz , Peter Suda , Jürgen Totzke , Cai-Nicolas Ziegler
发明人： Bernhard Dombrowski , Karl Klug , Michal Skubacz , Peter Suda , Jürgen Totzke , Cai-Nicolas Ziegler
IPC分类号： G06F17/30
CPC分类号： G06F17/3089
摘要： A method and an apparatus for tracking changes in a collection of web documents, for example, provided by a web site. The web documents are retrieved at a first assigned point in time and a second assigned point in time. Then a similarity measure for a combination of a retrieved web document at a first assigned point in time and a retrieved web document at a second assigned point in time is calculated for determining pairs of corresponding web documents. By comparing said calculated similarity measure of a pair of corresponding web documents with predetermined thresholds for the similarity measure a change in the content of the corresponding web document between the first assigned point in time and second assigned point in time is detected. Instead of referring to identifiers like URLs for web pages the content similarities of web pages are considered. The proposed strategy facilitates the work of marketing analysts.
摘要翻译：用于跟踪网站文档集合中的变化的方法和装置，例如由网站提供的。在第一个分配的时间点和第二个分配的时间点检索网络文档。然后，计算用于在第一分配时间点检索到的web文档和在第二分配时间点的检索到的web文档的组合的相似性度量，以确定对应的web文档对。通过将一对相应的web文档的所述计算的相似性度量与相似性度量的预定阈值进行比较，检测在第一分配时间点和第二指定时间点之间的对应web文档的内容的变化。不考虑网页的URL等标识符，而是考虑网页的内容相似性。拟议的战略有助于营销分析师的工作。

4. 发明申请

US20090216524A1 METHOD AND SYSTEM FOR ESTIMATING A SENTIMENT FOR AN ENTITY 有权
标题翻译：用于估算实体感知的方法和系统
公开(公告)号：US20090216524A1
公开(公告)日：2009-08-27
申请号：US12023085
申请日：2008-02-26
申请人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
发明人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
IPC分类号： G06F17/27 , G06F17/21
CPC分类号： G06F17/2785
摘要： A method for estimating a sentiment conveyed by the content of information sources towards an entity is presented. The sentiment is obtained with respect to a query context that may be specified, e.g. by specific terms or expressions, like a product or service name. A sentiment dictionary having a plurality of sentiment terms is provided, wherein each sentiment term has assigned a sentiment value, and at least one of said sentiment terms is associated to a group context. Text documents are screened for occurrences of sentiment terms that are associated to a group context corresponding to the query context. Calculating a sentiment score value is performed as a function of the occurrences of sentiment terms having a similar or same group context as the query context. The method may be carried out automatically without manual analysis of the actual semantic content of the text documents under consideration.
摘要翻译：提出了一种估计信息源内容向实体传递的情绪的方法。相对于可以指定的查询上下文获得情绪，例如，通过具体的术语或表达，如产品或服务名称。提供具有多个情绪条件的情绪词典，其中每个情绪词语已经分配了情感值，并且所述情绪词中的至少一个与组语境相关联。对与查询上下文相对应的组上下文相关联的情绪术语的出现来筛选文本文档。作为与具有与查询上下文相似或相同的组上下文的情绪项的出现的函数来执行计算情绪评分值。该方法可以自动执行，而无需手动分析正在考虑的文本文档的实际语义内容。

5. 发明授权

US08239189B2 Method and system for estimating a sentiment for an entity 有权
标题翻译：用于估计实体情绪的方法和系统
公开(公告)号：US08239189B2
公开(公告)日：2012-08-07
申请号：US12023085
申请日：2008-02-26
申请人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
发明人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
IPC分类号： G06F17/27 , G06F17/28 , G06F17/30
CPC分类号： G06F17/2785
摘要： A method for estimating a sentiment conveyed by the content of information sources towards an entity is presented. The sentiment is obtained with respect to a query context that may be specified, e. g. by specific terms or expressions, like a product or service name. A sentiment dictionary having a plurality of sentiment terms is provided, wherein each sentiment term has assigned a sentiment value, and at least one of said sentiment terms is associated to a group context. Text documents are screened for occurrences of sentiment terms that are associated to a group context corresponding to the query context. Calculating a sentiment score value is performed as a function of the occurrences of sentiment terms having a similar or same group context as the query context. The method may be carried out automatically without manual analysis of the actual semantic content of the text documents under consideration.
摘要翻译：提出了一种估计信息源内容向实体传递的情绪的方法。对于可以指定的查询上下文获得情绪，例如， G。通过具体的术语或表达，如产品或服务名称。提供具有多个情绪条件的情绪词典，其中每个情绪词语已经分配了情感值，并且所述情绪词中的至少一个与组语境相关联。对与查询上下文相对应的组上下文相关联的情绪术语的出现来筛选文本文档。作为与具有与查询上下文相似或相同的组上下文的情绪项的出现的函数来执行计算情绪评分值。该方法可以自动执行，而无需手动分析正在考虑的文本文档的实际语义内容。

6. 发明授权

US07895212B2 Method for estimating a prestige of an entity 有权
标题翻译：估计实体信誉的方法
公开(公告)号：US07895212B2
公开(公告)日：2011-02-22
申请号：US12069169
申请日：2008-02-07
申请人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
发明人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
IPC分类号： G06F17/30
CPC分类号： G06Q10/10
摘要： A method and an apparatus for estimating a prestige of an entity, as for example a firm, company or name, is disclosed wherein a score value is assigned to an entity as a function of an occurrence of terms associated with said entity in search results. The search results are obtained by searching an information space such as the internet. This enables, for example, companies or divisions, to infer their public standing from an analysis of search results obtained through internet search engines. It is possible to compare a plurality of entities with respect to each other in an automated fashion.
摘要翻译：公开了一种用于估计实体（例如公司，公司或名称）的声誉的方法和装置，其中将得分值作为在搜索结果中与所述实体相关联的术语的发生的函数分配给实体。通过搜索诸如因特网的信息空间来获得搜索结果。这使得例如公司或部门能够通过互联网搜索引擎获得的搜索结果的分析来推断他们的公共地位。可以以自动方式相对于彼此来比较多个实体。

7. 发明申请

US20090150378A1 Method for estimating a prestige of an entity 有权
标题翻译：估计实体信誉的方法
公开(公告)号：US20090150378A1
公开(公告)日：2009-06-11
申请号：US12069169
申请日：2008-02-07
申请人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
发明人： Michal Skubacz , Peter Suda , Cai-Nicolas Ziegler
IPC分类号： G06F17/30
CPC分类号： G06Q10/10
摘要： A method and an apparatus for estimating a prestige of an entity, as for example a firm, company or name, is disclosed wherein a score value is assigned to an entity as a function of an occurrence of terms associated with said entity in search results. The search results are obtained by searching an information space such as the internet. This enables, for example, companies or divisions, to infer their public standing from an analysis of search results obtained through internet search engines. It is possible to compare a plurality of entities with respect to each other in an automated fashion.
摘要翻译：公开了一种用于估计实体（例如公司，公司或名称）的声誉的方法和装置，其中将得分值作为在搜索结果中与所述实体相关联的术语的发生的函数分配给实体。通过搜索诸如因特网的信息空间来获得搜索结果。这使得例如公司或部门能够通过互联网搜索引擎获得的搜索结果的分析来推断他们的公共地位。可以以自动方式相对于彼此来比较多个实体。

8. 发明申请

US20090030891A1 METHOD AND APPARATUS FOR EXTRACTION OF TEXTUAL CONTENT FROM HYPERTEXT WEB DOCUMENTS 审中-公开
标题翻译：从超文本WEB文档中提取文本内容的方法和设备
公开(公告)号：US20090030891A1
公开(公告)日：2009-01-29
申请号：US12027625
申请日：2008-02-07
申请人： Michal SKUBACZ , Cai-Nicolas Ziegler
发明人： Michal SKUBACZ , Cai-Nicolas Ziegler
IPC分类号： G06F17/30
CPC分类号： G06F16/9558 , G06F16/3335 , G06F16/986
摘要： Textual content is extracted from hypertext documents by generating for each text document a pruned document model tree of merged text nodes by removing selected tag nodes from a document model tree of the text document, calculating for each merged text node of the pruned document model tree a set of text features which are compared with predetermined feature criteria to decide whether the merged text node is an informative merged text node, and assembling the informative merged text nodes to generate a text file containing the textual content.
摘要翻译：通过从文本文档的文档模型树中移除选定的标签节点，为每个文本文档生成已裁剪的合并文本节点的文档模型树，从超文本文档中提取文本内容，为修剪的文档模型树a的每个合并文本节点计算与预定特征标准进行比较以确定合并文本节点是否是信息合并的文本节点的文本特征集合，以及组合信息合并的文本节点以生成包含文本内容的文本文件。

9. 发明申请

US20080243482A1 Method for performing effective drill-down operations in text corpus visualization and exploration using language model approaches for key phrase weighting 审中-公开
标题翻译：在文本语料库可视化和探索中执行有效的深入操作的方法，使用语言模型方法进行关键短语加权
公开(公告)号：US20080243482A1
公开(公告)日：2008-10-02
申请号：US11797632
申请日：2007-05-04
申请人： Michal Skubacz , Cai-Nicolas Ziegler
发明人： Michal Skubacz , Cai-Nicolas Ziegler
IPC分类号： G06F17/27
CPC分类号： G06F17/2785
摘要： The invention relates to a method and an apparatus for performing a drill-down operation on a text corpus comprising documents, using language models for key phrase weighting, said method comprising the steps of weighting key phrases occurring both in a foreground language model, which contains a selected document cluster of said text corpus, and in a background language model, which does not contain said selected document cluster, by calculating for each key phrase a key phrase weight comprising a ratio between the foreground weight of said key phrase and a background weight of said key phrase, and assigning documents of the foreground language model to cluster labels which are formed by key phrases having high calculated key phrase weights.
摘要翻译：本发明涉及一种方法和装置，用于对包含文件的文本语料库进行向下钻取操作，所述文档使用语言模型进行密钥短语加权，所述方法包括以下步骤：加权在前景语言模型中出现的关键短语，其包含所述文本语料库的所选择的文档集合，并且在不包含所述选择的文档集群的背景语言模型中，通过对每个关键短语计算包括所述密钥短语的前景权重与背景权重之间的比率的关键短语权重并且将前景语言模型的文档分配给由具有高计算密钥短语权重的关键短语形成的群标签。

10. 发明授权

US08170969B2 Automated computation of semantic similarity of pairs of named entity phrases using electronic document corpora as background knowledge 有权
标题翻译：使用电子文档语料库作为背景知识自动计算命名实体短语对的语义相似度
公开(公告)号：US08170969B2
公开(公告)日：2012-05-01
申请号：US12246894
申请日：2008-10-07
申请人： Hans Roettger , Cai-Nicolas Ziegler
发明人： Hans Roettger , Cai-Nicolas Ziegler
IPC分类号： G06F17/00
CPC分类号： G06F17/278 , G06F17/2211
摘要： An overall semantic similarity score value between pairs of named entities in a text corpus is obtained by calculating for at least one pair of named entities a plurality of corresponding pair similarity score values according to a first and at least a second classifier using electronic information sources. Each pair similarity score value of the pair of named entities per classifier is normalized by calculating a rank list per classifier, for example, for each named entity. The rank list holds each pair of named entities of the text corpus, wherein a rank of each pair of named entities within the rank list reflects the respective pair similarity score value. Further an arithmetic mean of the normalized pair similarity score value of each pair of named entities is calculated to provide the overall semantic similarity score value.
摘要翻译：通过使用电子信息源，根据使用电子信息源的第一和至少第二分类器，计算至少一对命名实体多个对应的对相似性得分值，获得文本语料库中的命名实体对之间的整体语义相似性得分值。通过计算每个分类器的等级列表，例如对于每个命名的实体，对每个分类器的一对命名实体的每对相似性得分值进行归一化。排名列表包含文本语料库的每对命名实体，其中等级列表内的每对命名实体的等级反映相应的对相似性得分值。此外，计算每对命名实体的归一化对相似性得分值的算术平均值，以提供总体语义相似性得分值。

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