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1. 发明申请

US20110214080A1 Taxonomy Editor 有权
标题翻译：分类编辑器
公开(公告)号：US20110214080A1
公开(公告)日：2011-09-01
申请号：US12713190
申请日：2010-02-26
申请人： Sanjay Agrawal , Surajit Chaudhuri , Venkatesh Ganti , Yuri Siradeghyan
发明人： Sanjay Agrawal , Surajit Chaudhuri , Venkatesh Ganti , Yuri Siradeghyan
IPC分类号： G06F3/048
CPC分类号： G06F17/30734
摘要： This patent application relates to taxonomy editing. One implementation involves a taxonomy editor configured to generate a visual representation of a taxonomy associated with a set of scientific papers. The taxonomy editor includes a properties module configured to identify properties relating to an individual node of the taxonomy and a statistics module configured to determine trends relating to the individual node. The taxonomy editor further includes a similarity module configured to evaluate keyword similarity relative to individual scientific papers associated with the individual node. The taxonomy editor also includes a suggestion module configured to utilize the properties, the trends and the keyword similarity to identify potential modifications to the taxonomy. The taxonomy editor is further configured to present at least some of the potential modifications, the properties, the trends, and the keyword similarity concurrently with the visual representation of the taxonomy.
摘要翻译：该专利申请涉及分类编辑。一个实现涉及分类编辑器，其被配置为生成与一组科学论文相关联的分类法的视觉表示。分类编辑器包括被配置为识别与分类法的单个节点相关的属性的属性模块，以及被配置为确定与各个节点相关的趋势的统计模块。分类编辑器还包括相似度模块，其被配置为评估与单个节点相关联的各个科学论文的关键字相似度。分类编辑器还包括配置为利用属性，趋势和关键字相似性的建议模块来识别对分类法的潜在修改。分类编辑器还被配置为与分类法的视觉表示同时呈现至少一些潜在的修改，属性，趋势和关键词相似性。

2. 发明授权

US08527893B2 Taxonomy editor 有权
标题翻译：分类编辑器
公开(公告)号：US08527893B2
公开(公告)日：2013-09-03
申请号：US12713190
申请日：2010-02-26
申请人： Sanjay Agrawal , Surajit Chaudhuri , Venkatesh Ganti , Yuri Siradeghyan
发明人： Sanjay Agrawal , Surajit Chaudhuri , Venkatesh Ganti , Yuri Siradeghyan
IPC分类号： G06F3/048
CPC分类号： G06F17/30734
摘要： This patent application relates to taxonomy editing. One implementation involves a taxonomy editor configured to generate a visual representation of a taxonomy associated with a set of scientific papers. The taxonomy editor includes a properties module configured to identify properties relating to an individual node of the taxonomy and a statistics module configured to determine trends relating to the individual node. The taxonomy editor further includes a similarity module configured to evaluate keyword similarity relative to individual scientific papers associated with the individual node. The taxonomy editor also includes a suggestion module configured to utilize the properties, the trends and the keyword similarity to identify potential modifications to the taxonomy. The taxonomy editor is further configured to present at least some of the potential modifications, the properties, the trends, and the keyword similarity concurrently with the visual representation of the taxonomy.
摘要翻译：该专利申请涉及分类编辑。一个实现涉及分类编辑器，其被配置为生成与一组科学论文相关联的分类法的视觉表示。分类编辑器包括被配置为识别与分类法的单个节点相关的属性的属性模块，以及被配置为确定与各个节点相关的趋势的统计模块。分类编辑器还包括相似度模块，其被配置为评估与单个节点相关联的各个科学论文的关键字相似度。分类编辑器还包括配置为利用属性，趋势和关键字相似性的建议模块来识别对分类法的潜在修改。分类编辑器还被配置为与分类法的视觉表示同时呈现至少一些潜在的修改，属性，趋势和关键词相似性。

3. 发明申请

US20090319500A1 Scalable lookup-driven entity extraction from indexed document collections 有权
标题翻译：从索引文档集合提取可扩展的查找驱动实体
公开(公告)号：US20090319500A1
公开(公告)日：2009-12-24
申请号：US12144675
申请日：2008-06-24
申请人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
发明人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F17/30 , G06F7/06 , G06F17/27
CPC分类号： G06F17/30011 , G06F17/278
摘要： A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.
摘要翻译：过滤一组文档进行实体提取。接收到实体字符串的列表。确定一组涵盖列表中的实体字符串的令牌集。使用该组令牌查询在第一组文档上生成的反向索引，以确定第一组中的文档的子集的一组文档标识符。从第一组文档中检索由该组文档标识符标识的第二组文档。第二组文档被过滤以包括第二组的一个或多个文档，每个文档包括与实体字符串列表的至少一个实体字符串的匹配。可以对经过滤的第二组文件执行实体识别。

4. 发明授权

US08782061B2 Scalable lookup-driven entity extraction from indexed document collections 有权
标题翻译：从索引文档集合提取可扩展的查找驱动实体
公开(公告)号：US08782061B2
公开(公告)日：2014-07-15
申请号：US12144675
申请日：2008-06-24
申请人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
发明人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30011 , G06F17/278
摘要： A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.
摘要翻译：过滤一组文档进行实体提取。接收到实体字符串的列表。确定一组涵盖列表中的实体字符串的令牌集。使用该组令牌查询在第一组文档上生成的反向索引，以确定第一组中的文档的子集的一组文档标识符。从第一组文档中检索由该组文档标识符标识的第二组文档。第二组文档被过滤以包括第二组的一个或多个文档，每个文档包括与实体字符串列表的至少一个实体字符串的匹配。可以对经过滤的第二组文件执行实体识别。

5. 发明授权

US08195655B2 Finding related entity results for search queries 有权
标题翻译：查找搜索查询的相关实体结果
公开(公告)号：US08195655B2
公开(公告)日：2012-06-05
申请号：US11758024
申请日：2007-06-05
申请人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
发明人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F17/30
CPC分类号： G06F17/278 , G06F17/30864
摘要： Architecture for finding related entities for web search queries. An extraction component takes a document as input and outputs all the mentions (or occurrences) of named entities such as names of people, organizations, locations, and products in the document, as well as entity metadata. An indexing component takes a document identifier (docID) and the set of mentions of named entities and, stores and indexes the information for retrieval. A document-based search component takes a keyword query and returns the docIDs of the top documents matching with the query. A retrieval component takes a docID as input, accesses the information stored by the indexing component and returns the set of mentions of named entities in the document. This information is then passed to an entity scoring and thresholding component that computes an aggregate score of each entity and selects the entities to return to the user.
摘要翻译：用于查找网络搜索查询的相关实体的架构。提取组件将文档作为输入并输出所有实体的所有提及（或出现），例如文档中的人员，组织，位置和产品的名称以及实体元数据。索引组件采用文档标识符（docID）和命名实体的提及集合，并存储和索引信息进行检索。基于文档的搜索组件接受关键字查询，并返回与查询匹配的顶级文档的docID。检索组件将docID作为输入，访问由索引组件存储的信息，并返回文档中命名实体的提及集。然后将该信息传递给实体计分和阈值组件，该组件计算每个实体的聚合分数，并选择要返回给用户的实体。

6. 发明申请

US20080306908A1 Finding Related Entities For Search Queries 有权
标题翻译：查找搜索查询的相关实体
公开(公告)号：US20080306908A1
公开(公告)日：2008-12-11
申请号：US11758024
申请日：2007-06-05
申请人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
发明人： Sanjay Agrawal , Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F17/30
CPC分类号： G06F17/278 , G06F17/30864
摘要： Architecture for finding related entities for web search queries. An extraction component takes a document as input and outputs all the mentions (or occurrences) of named entities such as names of people, organizations, locations, and products in the document, as well as entity metadata. An indexing component takes a document identifier (docID) and the set of mentions of named entities and, stores and indexes the information for retrieval. A document-based search component takes a keyword query and returns the docIDs of the top documents matching with the query. A retrieval component takes a docID as input, accesses the information stored by the indexing component and returns the set of mentions of named entities in the document. This information is then passed to an entity scoring and thresholding component that computes an aggregate score of each entity and selects the entities to return to the user.
摘要翻译：用于查找网络搜索查询的相关实体的架构。提取组件将文档作为输入并输出所有实体的所有提及（或出现），例如文档中的人员，组织，位置和产品的名称以及实体元数据。索引组件采用文档标识符（docID）和命名实体的提及集合，并存储和索引信息进行检索。基于文档的搜索组件接受关键字查询，并返回与查询匹配的顶级文档的docID。检索组件将docID作为输入，访问由索引组件存储的信息，并返回文档中命名实体的提及集。然后将该信息传递给实体计分和阈值组件，该组件计算每个实体的聚合分数，并选择要返回给用户的实体。

7. 发明申请

US20090327223A1 QUERY-DRIVEN WEB PORTALS 审中-公开
公开(公告)号：US20090327223A1
公开(公告)日：2009-12-31
申请号：US12146469
申请日：2008-06-26
申请人： Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti , Dong Xin , Sanjay Agrawal , Arnd Christian Konig
发明人： Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti , Dong Xin , Sanjay Agrawal , Arnd Christian Konig
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F16/951
摘要： The described implementations relate to query portals. One technique analyzes search results generated by a web search engine responsive to a user search query. The technique also dynamically generates a query portal that lists the search results as well as entities identified from the search results.
摘要翻译：所描述的实现涉及查询门户。一种技术分析响应于用户搜索查询的web搜索引擎生成的搜索结果。该技术还动态生成查询门户，其中列出搜索结果以及从搜索结果中识别的实体。

8. 发明申请

US20100299367A1 Keyword Searching On Database Views 审中-公开
标题翻译：关键字搜索数据库视图
公开(公告)号：US20100299367A1
公开(公告)日：2010-11-25
申请号：US12469399
申请日：2009-05-20
申请人： Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
发明人： Kaushik Chakrabarti , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F17/30
CPC分类号： G06F16/24578 , G06F16/245 , G06F16/24535 , G06F16/24539 , G06F16/248 , G06F16/43
摘要： A keyword search is executed on a view of a database based on a Boolean keyword query. The view includes multiple text columns, and the keyword search is executed on each of the multiple text columns in the view. The output results from the keyword search on each of the text columns include tuple identifiers of one or more relevant tuples and a relevancy score for ranking the results of the keyword query.
摘要翻译：在基于布尔关键字查询的数据库视图上执行关键字搜索。该视图包括多个文本列，并且在视图中的每个多个文本列上执行关键字搜索。每个文本列上的关键字搜索的输出结果包括一个或多个相关元组的元组标识符和用于对关键字查询的结果进行排名的相关分数。

9. 发明授权

US07516149B2 Robust detector of fuzzy duplicates 有权
标题翻译：强大的模糊检测器
公开(公告)号：US07516149B2
公开(公告)日：2009-04-07
申请号：US10929514
申请日：2004-08-30
申请人： Rajeev Motwani , Surajit Chaudhuri , Venkatesh Ganti
发明人： Rajeev Motwani , Surajit Chaudhuri , Venkatesh Ganti
IPC分类号： G06F7/00 , G06F17/00
CPC分类号： G06F17/30303 , Y10S707/99932 , Y10S707/99933 , Y10S707/99937 , Y10S707/99942 , Y10S707/99943 , Y10S707/99945
摘要： At least one implementation, described herein, detects fuzzy duplicates and eliminates such duplicates. Fuzzy duplicates are multiple, seemingly distinct tuples (i.e., records) in a database that represent the same real-world entity or phenomenon.
摘要翻译：本文描述的至少一个实施例检测模糊重复并消除这种重复。模糊重复是代表相同的真实世界实体或现象的数据库中的多个看似独特的元组（即，记录）。

10. 发明申请

US20080306945A1 EXAMPLE-DRIVEN DESIGN OF EFFICIENT RECORD MATCHING QUERIES 有权
标题翻译：实例 - 有效记录匹配查询的驱动设计
公开(公告)号：US20080306945A1
公开(公告)日：2008-12-11
申请号：US11758202
申请日：2007-06-05
申请人： Surajit Chaudhuri , Bee-Chung Chen , Venkatesh Ganti , Shriraghav Kaushik
发明人： Surajit Chaudhuri , Bee-Chung Chen , Venkatesh Ganti , Shriraghav Kaushik
IPC分类号： G06F17/30
CPC分类号： G06F17/30533 , G06F17/30495
摘要： Example-driven creation of record matching queries. The disclosed architecture employs techniques that exploit the availability of positive (or matching) and negative (non-matching) examples to search through this space and suggest an initial record matching query. The record matching task is modeled as that of designing an operator tree obtained by composing a few primitive operators. This ensures that record matching programs be executable efficiently and scalably over large input relations. The architecture joins records across multiple (e.g., two) relations (e.g., R and S). The architecture exploits the monotonicity property of similarity functions for record matching in the relations, in that, any pair of matching records have a higher similarity value than non-matching record pairs on at least one similarity function.
摘要翻译：示例驱动创建记录匹配查询。所公开的架构采用利用正（或匹配）和否定（不匹配）示例的可用性来搜索该空间并提出初始记录匹配查询的技术。记录匹配任务被建模为设计通过组合几个原始算子获得的运算符树的记录匹配任务。这确保了记录匹配程序可以在大的输入关系上有效和可扩展地执行。该架构通过多个（例如，两个）关系（例如，R和S）连接记录。该架构利用了关系中记录匹配的相似度函数的单调性，因为任何一对匹配记录具有比至少一个相似度函数上的非匹配记录对更高的相似度值。

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