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1. 发明授权

US10229200B2 Linking data elements based on similarity data values and semantic annotations 有权
公开(公告)号：US10229200B2
公开(公告)日：2019-03-12
申请号：US13491724
申请日：2012-06-08
申请人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael James Ward
发明人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael James Ward
IPC分类号： G06F17/30
摘要： Data elements from data sources and having a data value set are linked by using hash functions to determine a dimensionally reduced instance signature for each data element based on all data values associated with that data element to yield a plurality of dimensionally reduced instance signatures of equivalent fixed size such that similarities among the data values in the data value sets across all data elements is maintained among the plurality of instance signatures. Candidate pairs of data elements to link are identified using the plurality of instance signatures in locality sensitive hash functions, and a similarity index is generated for each candidate pair using a pre-determined measure of similarity. Candidate pairs of data elements having a similarity index above a given threshold are linked.

2. 发明申请

US20130332467A1 Linking Data Elements Based on Similarity Data Values and Semantic Annotations 审中-公开
公开(公告)号：US20130332467A1
公开(公告)日：2013-12-12
申请号：US13543872
申请日：2012-07-08
申请人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： Data elements from data sources and having a data value set are linked by using hash functions to determine a dimensionally reduced instance signature for each data element based on all data values associated with that data element to yield a plurality of dimensionally reduced instance signatures of equivalent fixed size such that similarities among the data values in the data value sets across all data elements is maintained among the plurality of instance signatures. Candidate pairs of data elements to link are identified using the plurality of instance signatures in locality sensitive hash functions, and a similarity index is generated for each candidate pair using a pre-determined measure of similarity. Candidate pairs of data elements having a similarity index above a given threshold are linked.

3. 发明申请

US20130332466A1 Linking Data Elements Based on Similarity Data Values and Semantic Annotations 审中-公开
标题翻译：基于相似性数据值和语义注释链接数据元素
公开(公告)号：US20130332466A1
公开(公告)日：2013-12-12
申请号：US13491724
申请日：2012-06-08
申请人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela Ancuta Bornea , Songyun Duan , Achille Belly Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Data elements from data sources and having a data value set are linked by using hash functions to determine a dimensionally reduced instance signature for each data element based on all data values associated with that data element to yield a plurality of dimensionally reduced instance signatures of equivalent fixed size such that similarities among the data values in the data value sets across all data elements is maintained among the plurality of instance signatures. Candidate pairs of data elements to link are identified using the plurality of instance signatures in locality sensitive hash functions, and a similarity index is generated for each candidate pair using a pre-determined measure of similarity. Candidate pairs of data elements having a similarity index above a given threshold are linked.
摘要翻译：来自数据源并且具有数据值集合的数据元素通过使用散列函数来链接，以基于与该数据元素相关联的所有数据值来确定每个数据元素的尺寸上减小的实例签名，以产生多个等距固定的尺寸缩小的实例签名大小，使得在多个实例签名之间保持跨所有数据元素的数据值中的数据值之间的相似性。使用位置敏感哈希函数中的多个实例签名来识别要链接的候选数据元素对，并且使用预定的相似度测量为每个候选对生成相似性索引。具有高于给定阈值的相似性指数的候选对的数据元素被链接。

4. 发明申请

US20120246154A1 AGGREGATING SEARCH RESULTS BASED ON ASSOCIATING DATA INSTANCES WITH KNOWLEDGE BASE ENTITIES 审中-公开
标题翻译：基于与知识基础实体相关联的数据实验的搜索结果
公开(公告)号：US20120246154A1
公开(公告)日：2012-09-27
申请号：US13070193
申请日：2011-03-23
申请人： Songyun Duan , Achille B. Fokoue-Nfoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Songyun Duan , Achille B. Fokoue-Nfoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F16/2455
摘要： Methods and systems for aggregating search query results include receiving search query results and schema information for the query results from multiple heterogeneous sources, determining types for elements of the query results based on the schema information, determining potential aggregations for the query results based on the types, which are based on accumulated information from the plurality of heterogeneous resources, and aggregating the query results according to one or more of the potential aggregations.
摘要翻译：用于聚合搜索查询结果的方法和系统包括从多个异构源接收用于查询结果的搜索查询结果和模式信息，基于模式信息确定查询结果的元素的类型，基于类型确定查询结果的潜在聚合，其基于来自所述多个异构资源的累积信息，并且根据所述潜在聚合中的一个或多个聚合所述查询结果。

5. 发明授权

US09959326B2 Annotating schema elements based on associating data instances with knowledge base entities 有权
公开(公告)号：US09959326B2
公开(公告)日：2018-05-01
申请号：US13070238
申请日：2011-03-23
申请人： Songyun Duan , Achille B. Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Songyun Duan , Achille B. Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F17/30545 , G06F17/30566
摘要： Methods and systems for determining schema element types are shown that include pooling potential annotations for an element of an unlabeled schema from a plurality of heterogeneous sources, scoring the pool of potential annotations according to relevancy using information using instance information from the plurality of heterogeneous sources to produce a relevancy score, and annotating the element of the unlabeled schema using the most relevant potential annotations.

6. 发明申请

US20120246175A1 ANNOTATING SCHEMA ELEMENTS BASED ON ASSOCIATING DATA INSTANCES WITH KNOWLEDGE BASE ENTITIES 有权
标题翻译：基于与知识基础实体相关的数据实验的示例图表元素
公开(公告)号：US20120246175A1
公开(公告)日：2012-09-27
申请号：US13070238
申请日：2011-03-23
申请人： Songyun Duan , Achille B. Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Songyun Duan , Achille B. Fokoue-Nkoutche , Oktie Hassanzadeh , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F17/30545 , G06F17/30566
摘要： Methods and systems for determining schema element types are shown that include pooling potential annotations for an element of an unlabeled schema from a plurality of heterogeneous sources, scoring the pool of potential annotations according to relevancy using information using instance information from the plurality of heterogeneous sources to produce a relevancy score, and annotating the element of the unlabeled schema using the most relevant potential annotations.
摘要翻译：示出了用于确定模式元素类型的方法和系统，其包括对来自多个异构源的未标记模式的元素的潜在注释进行池化，根据使用来自多个异构源的实例信息的信息，根据相关性评分潜在注释池，产生相关性分数，并使用最相关的潜在注释来注释未标记模式的元素。

7. 发明申请

US20110106821A1 Semantic-Aware Record Matching 失效
标题翻译：语义感知记录匹配
公开(公告)号：US20110106821A1
公开(公告)日：2011-05-05
申请号：US12610101
申请日：2009-10-30
申请人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
发明人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
IPC分类号： G06F17/30 , G06F17/21
CPC分类号： G06F17/2785 , G06F17/30734
摘要： A method of semantic-aware record matching includes receiving source and target string record specifications associated with a source string record and a target string record, receiving semantic knowledge referring to tokens of the source string record and target string record, creating a first set of tokens for the source string record and a second set of tokens for the target string record based on the semantic knowledge, assigning a similarity score to the source string record and the target string record based on a semantic relationship between the first set of tokens and the second set of tokens, and matching the source string record and the target string record based on the similarity score.
摘要翻译：语义感知记录匹配的方法包括接收与源字符串记录和目标字符串记录相关联的源和目标字符串记录规范，接收引用源字符串记录和目标字符串记录的令牌的语义知识，创建第一组令牌对于源字符串记录和基于语义知识的目标字符串记录的第二组令牌，基于第一组令牌和第二组令牌之间的语义关系向源字符串记录和目标字符串记录分配相似性分数一组令牌，并根据相似性得分匹配源字符串记录和目标字符串记录。

8. 发明申请

US20110106836A1 Semantic Link Discovery 审中-公开
标题翻译：语义链接发现
公开(公告)号：US20110106836A1
公开(公告)日：2011-05-05
申请号：US12609657
申请日：2009-10-30
申请人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
发明人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
IPC分类号： G06F17/30
CPC分类号： G06F16/2465
摘要： A method of semantic link discovery through translation of basic declarative language includes receiving a set of linkage specifications, receiving a set of data sources related to the linkage specifications, the set of data sources and the set of linkage requirements forming a basic declarative language query, translating the basic declarative language query into a standard language query, executing the standard language query, and returning results of the standard language query in response to the executing.
摘要翻译：通过翻译基本声明性语言的语义链接发现的方法包括接收一组链接规范，接收与链接规范相关的一组数据源，数据源集合和形成基本声明性语言查询的连接请求集合，将基本声明性语言查询转换为标准语言查询，执行标准语言查询，并响应于执行返回标准语言查询的结果。

9. 发明授权

US08468160B2 Semantic-aware record matching 失效
标题翻译：语义感知记录匹配
公开(公告)号：US08468160B2
公开(公告)日：2013-06-18
申请号：US12610101
申请日：2009-10-30
申请人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
发明人： Oktie Hassanzadeh , Anastasios Kementsietsidis , Lipyeow Lim , Min Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/2785 , G06F17/30734
摘要： A method of semantic-aware record matching includes receiving source and target string record specifications associated with a source string record and a target string record, receiving semantic knowledge referring to tokens of the source string record and target string record, creating a first set of tokens for the source string record and a second set of tokens for the target string record based on the semantic knowledge, assigning a similarity score to the source string record and the target string record based on a semantic relationship between the first set of tokens and the second set of tokens, and matching the source string record and the target string record based on the similarity score.
摘要翻译：语义感知记录匹配的方法包括接收与源字符串记录和目标字符串记录相关联的源和目标字符串记录规范，接收引用源字符串记录和目标字符串记录的令牌的语义知识，创建第一组令牌对于源字符串记录和基于语义知识的目标字符串记录的第二组令牌，基于第一组令牌和第二组令牌之间的语义关系向源字符串记录和目标字符串记录分配相似性分数一组令牌，并根据相似性得分匹配源字符串记录和目标字符串记录。

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