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1. 发明授权

US09183286B2 Methodologies and analytics tools for identifying white space opportunities in a given industry 有权
标题翻译：用于识别给定行业中的空白机会的方法和分析工具
公开(公告)号：US09183286B2
公开(公告)日：2015-11-10
申请号：US12132561
申请日：2008-06-03
申请人： Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
发明人： Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30707 , G06F2216/11 , Y10S707/923
摘要： A method for analyzing predefined subject matter in a patent database being for use with a set of target patents, each target patent related to the predefined subject matter, the method comprising: creating a feature space based on frequently occurring terms found in the set of target patents; creating a partition taxonomy based on a clustered configuration of the feature space; editing the partition taxonomy using domain expertise to produce an edited partition taxonomy; creating a classification taxonomy based on structured features present in the edited partition taxonomy; creating a contingency table by comparing the edited partition taxonomy and the classification taxonomy to provide entries in the contingency table; and identifying all significant relationships in the contingency table to help determine the presence of any white space.
摘要翻译：一种用于分析专利数据库中预定主题的方法，用于与一组目标专利一起使用，每个目标专利与预定义的主题相关，所述方法包括：基于在目标集合中发现的经常出现的项来创建特征空间专利; 基于特征空间的集群配置创建分区分类; 使用领域专业知识编辑分区分类，以产生编辑的分区分类; 根据编辑的分区分类中存在的结构化特征创建分类分类; 通过比较编辑的分区分类法和分类分类法来创建应急表，以提供应急表中的条目; 并确定应急表中的所有重要关系，以帮助确定任何空白的存在。

2. 发明授权

US08577834B2 Methodologies and analytics tools for locating experts with specific sets of expertise 有权
标题翻译：用于定位具有特定专业知识的专家的方法和分析工具
公开(公告)号：US08577834B2
公开(公告)日：2013-11-05
申请号：US12134098
申请日：2008-06-05
申请人： Ying Chen , Jeffrey Thomas Kreulen , Ana Lelescu , James J. Rhodes , William Scott Spangler
发明人： Ying Chen , Jeffrey Thomas Kreulen , Ana Lelescu , James J. Rhodes , William Scott Spangler
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30958 , G06F17/30705 , G06F17/30731 , G06Q10/06
摘要： A method and analytics tools for locating experts with specific sets of expertise are disclosed, the method including providing a collection of documents P0; generating categories representing fields of expertise derived from the collection of documents P0; refining the taxonomy of the categories by applying user domain knowledge; extracting structured fields from the collection of documents P0; constructing a contingency table having a first axis defined by the extracted structured fields and a second axis defined by the categories; and using the contingency table to identify a set of experts having a related expertise. The method may also include a network graph analysis that aids visualization of the relationship between people and expertise.
摘要翻译：公开了一种用于定位具有特定专业知识的专家的方法和分析工具，该方法包括提供文档集合P0; 生成代表从文献P0收集的专业领域的类别; 通过应用用户域知识来提炼类别的分类; 从文件集合P0提取结构化字段; 构造具有由所提取的结构化场定义的第一轴和由所述类别定义的第二轴的应变表; 并使用应变表来识别一组具有相关专长的专家。该方法还可以包括有助于可视化人与专业知识之间的关系的网络图分析。

3. 发明授权

US08356025B2 Systems and methods for detecting sentiment-based topics 有权
标题翻译：用于检测情感主题的系统和方法
公开(公告)号：US08356025B2
公开(公告)日：2013-01-15
申请号：US12634269
申请日：2009-12-09
申请人： Keke Cai , Ying Chen , William Scott Spangler , Li Zhang
发明人： Keke Cai , Ying Chen , William Scott Spangler , Li Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/2785
摘要： A method for analyzing sentiment comprising: collecting an object from an external content repository, the collected objects forming a content database; extracting a snippet related to the subject from the content database; calculating a sentiment score for the snippet; classifying the snippet into a sentiment category; creating sentiment taxonomy using the sentiment categories, the sentiment taxonomy classifying the snippets as positive, negative or neutral; identifying topic words within the sentiment taxonomy; classifying the topic words as a sentiment topic word candidates or a non-sentiment topic word candidate, filtering the non-sentiment topic word candidates; identifying the frequency of the non-sentiment topic words in each of the sentiment categories; identifying the importance of the non-sentiment topic word for each of the sentiment categories; and, ranking the topic word, wherein the rank is calculated by combining the frequency of the topic words in each of the categories with its importance.
摘要翻译：一种用于分析情绪的方法，包括：从外部存储库收集对象，所收集的对象形成内容数据库; 从所述内容数据库提取与所述主题相关的片段; 计算该片段的情绪分数; 将该片段分类为情感类别; 使用情绪类别创建情感分类，情绪分类法将片段分为正，负或中立; 识别情感分类学中的主题词; 将主题词分类为情感主题词候选或非情绪主题词候选，过滤非情绪主题词候选词; 识别每个情绪类别中非情绪主题词的频率; 确定每个情绪类别的非情绪主题词的重要性; 并且对主题词进行排名，其中通过将每个类别中的主题词的频率与其重要性组合来计算排名。

4. 发明授权

US08244724B2 Classifying documents according to readership 有权
标题翻译：根据读者分类文件
公开(公告)号：US08244724B2
公开(公告)日：2012-08-14
申请号：US12776779
申请日：2010-05-10
申请人： Ying Chen , Bin He , William Scott Spangler
发明人： Ying Chen , Bin He , William Scott Spangler
IPC分类号： G06F17/30
CPC分类号： G06F17/30707
摘要： One embodiment is a computer-implemented method for classifying documents in a collection of documents according to their intended readerships. The method comprises using a computer to select a document in the collection of documents; and using a computer to determine a characteristic of the selected document, the characteristic being: misleading when the document includes one or more features that are determined to be for a purpose other than reading the document; commercial when the document includes features that are presented for a commercial purpose; or personal when the document includes features of a personal opinion. The method further includes using a computer to classify the selected document as misleading, commercial, or personal according to its determined characteristic; and using a computer to repeat the steps of select document, determine a characteristic of the selected document, and classify the selected document for additional documents in the collection. At least some documents are classified as misleading, at least some documents are classified as commercial, and at least some documents are classified as personal. Other methods and computer program products are also disclosed according to even more embodiments.
摘要翻译：一个实施例是一种计算机实现的方法，用于根据其预期的读者对文档集合中的文档进行分类。该方法包括使用计算机在文档集合中选择文档; 并且使用计算机来确定所选择的文档的特征，其特征是：当所述文档包括被确定为用于除了阅读所述文档之外的目的的一个或多个特征时具有误导性; 当文档包含为商业目的呈现的特征时，商业广告; 或个人，当文件包含个人意见的特征。该方法还包括使用计算机根据其确定的特征将所选择的文档分类为误导，商业或个人; 并使用计算机重复选择文档的步骤，确定所选文档的特征，并将所选择的文档分类到集合中的附加文档。至少有些文件被归类为误导性的，至少有些文件被归类为商业，至少有一些文件被归类为个人。根据甚至更多的实施例还公开了其它方法和计算机程序产品。

5. 发明申请

US20100280991A1 METHOD AND SYSTEM FOR VERSIONING DATA WAREHOUSES 有权
标题翻译：用于修改数据仓库的方法和系统
公开(公告)号：US20100280991A1
公开(公告)日：2010-11-04
申请号：US12434378
申请日：2009-05-01
申请人： YING CHEN , BIN HE , WILLIAM SCOTT SPANGLER
发明人： YING CHEN , BIN HE , WILLIAM SCOTT SPANGLER
IPC分类号： G06F12/00 , G06F17/30 , G06F7/00
CPC分类号： G06F17/30592
摘要： A method, system, and computer program product are disclosed. Exemplary embodiments of the method, system, and computer program product may include hardware, process steps, and computer program instructions for supporting versioning in a data warehouse. The data warehouse may include a data warehouse engine for creating a data warehouse including a fact table and temporary tables. Updated or new data records may be transferred into the data warehouse and bulk loaded into the temporary tables. The updated or new data records may be evaluated for attributes matching existing data records. A version number may be assigned to data records and data records may be marked as being the most current version. Updated and new data records may be bulk loaded from the temporary tables into the fact table when a version number or a version status is calculated.
摘要翻译：公开了一种方法，系统和计算机程序产品。方法，系统和计算机程序产品的示例性实施例可以包括用于支持数据仓库中的版本控制的硬件，处理步骤和计算机程序指令。数据仓库可以包括用于创建包括事实表和临时表的数据仓库的数据仓库引擎。更新的或新的数据记录可能会被传输到数据仓库中并批量加载到临时表中。可以针对与现有数据记录匹配的属性来评估更新的或新的数据记录。可以将版本号分配给数据记录，并且可以将数据记录标记为最新版本。当计算版本号或版本状态时，更新的新数据记录可能会从临时表批量加载到事实表中。

6. 发明授权

US07536357B2 Methodologies and analytics tools for identifying potential licensee markets 失效
标题翻译：识别潜在被许可人市场的方法和分析工具
公开(公告)号：US07536357B2
公开(公告)日：2009-05-19
申请号：US11674587
申请日：2007-02-13
申请人： Stephen Kane Boyer , Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
发明人： Stephen Kane Boyer , Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
IPC分类号： G06F17/60
CPC分类号： G06Q30/02
摘要： A method is disclosed for use with at least one initial document describing a technical concept suitable for licensing, the method comprising: retrieving a set of intellectual property documents from a data warehouse; partitioning the set of intellectual property documents into a plurality of document categories; classifying the set of intellectual property documents by an industry parameter; constructing a contingency table that includes a listing of industry classifications for each of the document categories, and identifying documents within a particular one of the document categories that have different industry classifications so as to identify at least one potential new licensee industry of the technical concept described in the initial document.
摘要翻译：公开了一种与描述适合许可的技术概念的至少一个初始文件一起使用的方法，所述方法包括：从数据仓库检索一组知识产权文档; 将知识产权文档集分为多个文档类别; 通过行业参数对知识产权文件进行分类; 构建应急表，其中包括每个文档类别的行业分类列表，以及识别具有不同行业分类的特定文档类别中的文档，以便识别描述的技术概念的至少一个潜在的新被许可人行业在初始文件中。

7. 发明授权

US07503000B1 Method for generation of an N-word phrase dictionary from a text corpus 有权
标题翻译：从文本语料库生成N字词组词典的方法
公开(公告)号：US07503000B1
公开(公告)日：2009-03-10
申请号：US09629831
申请日：2000-07-31
申请人： Jeffrey Thomas Kreulen , William Scott Spangler
发明人： Jeffrey Thomas Kreulen , William Scott Spangler
IPC分类号： G06F17/00
CPC分类号： G06F17/30616 , Y10S707/99937
摘要： A structure and method for automatically creating a dictionary for clustering text documents performs a first pass for each of the documents to determine a frequency of each word in each of the documents, creates a Hashtable of most frequently occurring words in the documents, performs a second pass for each of the documents to determine a frequency of phrases in each of the documents that contain only words in the Hashtable, adds the most frequently occurring phrases to the Hashtable, and outputting outputs the most frequently occurring words and the most frequently occurring phrases as the dictionary.
摘要翻译：用于自动创建用于聚类文本文档的字典的结构和方法为每个文档执行第一遍以确定每个文档中的每个单词的频率，在文档中创建最频繁出现的单词的哈希表，执行第二次传递每个文档以确定每个仅包含Hashtable中的单词的文档中的短语的频率，将最常出现的短语添加到Hashtable中，并将最常出现的单词和最频繁出现的短语输出为词典。

8. 发明申请

US20080235220A1 METHODOLOGIES AND ANALYTICS TOOLS FOR IDENTIFYING WHITE SPACE OPPORTUNITIES IN A GIVEN INDUSTRY 有权
标题翻译：识别工业中白色空间机会的方法与分析工具
公开(公告)号：US20080235220A1
公开(公告)日：2008-09-25
申请号：US12132561
申请日：2008-06-03
申请人： Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
发明人： Ying Chen , Jeffrey Thomas Kreulen , James J. Rhodes , William Scott Spangler
IPC分类号： G06F17/30 , G06F7/10
CPC分类号： G06F17/30707 , G06F2216/11 , Y10S707/923
摘要： A method for analyzing predefined subject matter in a patent database being for use with a set of target patents, each target patent related to the predefined subject matter, the method comprising: creating a feature space based on frequently occurring terms found in the set of target patents; creating a partition taxonomy based on a clustered configuration of the feature space; editing the partition taxonomy using domain expertise to produce an edited partition taxonomy; creating a classification taxonomy based on structured features present in the edited partition taxonomy; creating a contingency table by comparing the edited partition taxonomy and the classification taxonomy to provide entries in the contingency table; and identifying all significant relationships in the contingency table to help determine the presence of any white space.
摘要翻译：一种用于分析专利数据库中预定主题的方法，用于与一组目标专利一起使用，每个目标专利与预定义的主题相关，所述方法包括：基于在所述目标集合中找到的频繁出现的项目来创建特征空间专利; 基于特征空间的集群配置创建分区分类; 使用领域专业知识编辑分区分类，以产生编辑的分区分类; 根据编辑的分区分类中存在的结构化特征创建分类分类; 通过比较编辑的分区分类法和分类分类法来创建应急表，以提供应急表中的条目; 并确定应急表中的所有重要关系，以帮助确定任何空白的存在。

9. 发明申请

US20080195567A1 INFORMATION MINING USING DOMAIN SPECIFIC CONCEPTUAL STRUCTURES 审中-公开
公开(公告)号：US20080195567A1
公开(公告)日：2008-08-14
申请号：US11674601
申请日：2007-02-13
申请人： YING CHEN , JEFFREY THOMAS KREULEN , JAMES J. RHODES , WILLIAM SCOTT SPANGLER
发明人： YING CHEN , JEFFREY THOMAS KREULEN , JAMES J. RHODES , WILLIAM SCOTT SPANGLER
IPC分类号： G06N5/02
CPC分类号： G06F16/355 , G06F16/358 , G06N5/022
摘要： A method and analytics tools for information mining incorporating domain specific knowledge and conceptual structures are disclosed, the method including: providing a first set of documents related to a first topic of interest; using a first taxonomy to categorize the first set of documents into a set of categories; providing a second set of documents related to a second topic of interest; categorizing the second set of documents according to the set of categories of the first set of documents; using an element of domain knowledge to re-categorize the first set of documents; and examining a category to identify a document of interest.

10. 发明授权

US07233943B2 Clustering hypertext with applications to WEB searching 有权
标题翻译：将超文本聚类到应用程序到WEB搜索
公开(公告)号：US07233943B2
公开(公告)日：2007-06-19
申请号：US10660242
申请日：2003-09-11
申请人： Dharmendra Shantilal Modha , William Scott Spangler
发明人： Dharmendra Shantilal Modha , William Scott Spangler
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06K9/6223 , G06F17/30864 , Y10S707/99933
摘要： A method of searching a database of documents, wherein the method includes performing a search of the database using a query to produce query result documents; constructing a word dictionary of words within the query result documents; constructing an out-link dictionary of documents within the database that are pointed to by the query result documents; adding the query result documents to the out-link dictionary; constructing an in-link dictionary of documents within the database that point to the query result documents; and adding the query result documents to the in-link dictionary.
摘要翻译：一种搜索文档数据库的方法，其中所述方法包括使用查询来执行数据库的搜索以产生查询结果文档; 在查询结果文档中构建单词词典; 构建数据库中由查询结果文档指向的文档的外链接字典; 将查询结果文档添加到外链字典; 构建数据库中指向查询结果文档的文档的链接字典; 并将查询结果文档添加到链接字典中。

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