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1. 发明申请

US20110082828A1 Large Scale Probabilistic Ontology Reasoning 有权
标题翻译：大规模概率本体论推理
公开(公告)号：US20110082828A1
公开(公告)日：2011-04-07
申请号：US12574237
申请日：2009-10-06
申请人： Achille B. Fokoue-Nkoutche , Aditya Kalyanpur , Edith G. Schonberg , Kavitha Srinivas
发明人： Achille B. Fokoue-Nkoutche , Aditya Kalyanpur , Edith G. Schonberg , Kavitha Srinivas
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N7/005
摘要： Techniques for computing a solution to a query formulated against a knowledge base (KB) are provided. The techniques include receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto, ignoring each probability value of the one or more axioms and computing a solution to the query, computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution, and using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution.
摘要翻译：提供了用于计算针对知识库（KB）制定的查询的解决方案的技术。这些技术包括接收针对知识库制定的查询，其中所述知识库包括一组一个或多个公理，其中每个公理用指示分配给其的确定程度的特定概率值进行注释，忽略该概率值的一个概率值或更多的公理，并计算查询的解决方案，计算查询解决方案的一个或多个理由中的每一个，其中计算查询解决方案的一个或多个理由中的每一个包括确定知识库中的一个或多个公理的最小集合，需要查询解决方案，并使用每个对齐中的一个或多个公理的每个概率值来计算推断的查询解的净概率。

2. 发明授权

US09361579B2 Large scale probabilistic ontology reasoning 有权
标题翻译：大规模概率本体推理
公开(公告)号：US09361579B2
公开(公告)日：2016-06-07
申请号：US12574237
申请日：2009-10-06
申请人： Achille B. Fokoue-Nkoutche , Aditya Kalyanpur , Edith G. Schonberg , Kavitha Srinivas
发明人： Achille B. Fokoue-Nkoutche , Aditya Kalyanpur , Edith G. Schonberg , Kavitha Srinivas
IPC分类号： G06N5/02 , G06N7/00
CPC分类号： G06N5/02 , G06N7/005
摘要： Techniques for computing a solution to a query formulated against a knowledge base (KB) are provided. The techniques include receiving a query formulated against a knowledge base, wherein the knowledge base comprises a set of one or more axioms, wherein each axiom is annotated with a specific probability value indicating a degree of certainty assigned thereto, ignoring each probability value of the one or more axioms and computing a solution to the query, computing each of one or more justifications for the query solution, wherein computing each of one or more justifications for the query solution comprises determining a minimal set of one or more axioms in the knowledge base that entail the query solution, and using each probability value of the one or more axioms in each justification to compute a net probability of an inferred query solution.
摘要翻译：提供了用于计算针对知识库（KB）制定的查询的解决方案的技术。这些技术包括接收针对知识库制定的查询，其中所述知识库包括一组一个或多个公理，其中每个公理用指示分配给其的确定程度的特定概率值进行注释，忽略该概率值的一个概率值或更多的公理，并计算查询的解决方案，计算查询解决方案的一个或多个理由中的每一个，其中计算查询解决方案的一个或多个理由中的每一个包括确定知识库中的一个或多个公理的最小集合，需要查询解决方案，并使用每个对齐中的一个或多个公理的每个概率值来计算推断的查询解的净概率。

3. 发明申请

US20140074878A1 SPREADSHEET SCHEMA EXTRACTION 审中-公开
公开(公告)号：US20140074878A1
公开(公告)日：2014-03-13
申请号：US13617322
申请日：2012-09-14
申请人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F17/2745 , G06F17/246
摘要： Aspects of the present invention provide a tool for extracting schema from a spreadsheet. In an embodiment, a set of data that is stored in an uncataloged tabular format, such as a spreadsheet, is retrieved. The structure of the retrieved set of data is surveyed to determine the dataset schema thereof. Then, data elements within the dataset schema are analyzed to obtain information regarding the data elements. Based on dataset schema and the element information, an interface can be constructed that allows remote access to the set of data.

4. 发明授权

US08355905B2 Mapping of relationship entities between ontologies 有权
标题翻译：本体之间关系实体的映射
公开(公告)号：US08355905B2
公开(公告)日：2013-01-15
申请号：US12780663
申请日：2010-05-14
申请人： Achille B. Fokoue-Nkoutche , Aditya A. Kalyanpur , Kirill M. Osipov , Kavitha Srinivas , Min Wang
发明人： Achille B. Fokoue-Nkoutche , Aditya A. Kalyanpur , Kirill M. Osipov , Kavitha Srinivas , Min Wang
IPC分类号： G06F17/27 , G06F17/20 , G06F17/21
CPC分类号： G06F17/30734
摘要： Methods, apparatus and systems, including computer program products, for reducing an error rate when mapping entities between a first ontology and a second ontology. One or more of a general language dictionary and an industry-specific dictionary are provided. Natural language processing of the first ontology is performed to identify one or more candidate relationship entities in the first ontology. Each candidate relationship entity includes a compound name having two or more semantic labels, and each candidate relationship entity has a name that neither exists in the general language dictionary or the industry-specific dictionary. Each of the one or more candidate relationship entities in the first ontology is mapped to one or more entities in the second ontology using one or more configurable computer-implemented mapping algorithms.
摘要翻译：包括计算机程序产品的方法，装置和系统，用于在第一本体和第二本体之间映射实体时降低错误率。提供一个或多个通用语言字典和行业特定词典。执行第一本体的自然语言处理以识别第一本体中的一个或多个候选关系实体。每个候选关系实体包括具有两个或多个语义标签的复合名称，并且每个候选关系实体具有在通用语言字典或行业特定字典中既不存在的名称。使用一个或多个可配置的计算机实现的映射算法将第一本体中的一个或多个候选关系实体中的每一个映射到第二本体中的一个或多个实体。

5. 发明申请

US20110282652A1 MAPPING OF RELATIONSHIP ENTITIES BETWEEN ONTOLOGIES 有权
标题翻译：本地生物学关系实体的映射
公开(公告)号：US20110282652A1
公开(公告)日：2011-11-17
申请号：US12780663
申请日：2010-05-14
申请人： Achille B. Fokoue-Nkoutche , Aditya A. Kalyanpur , Kirill M. Osipov , Kavitha Srinivas , Min Wang
发明人： Achille B. Fokoue-Nkoutche , Aditya A. Kalyanpur , Kirill M. Osipov , Kavitha Srinivas , Min Wang
IPC分类号： G06F17/27
CPC分类号： G06F17/30734
摘要： Methods, apparatus and systems, including computer program products, for reducing an error rate when mapping entities between a first ontology and a second ontology. One or more of a general language dictionary and an industry-specific dictionary are provided. Natural language processing of the first ontology is performed to identify one or more candidate relationship entities in the first ontology. Each candidate relationship entity includes a compound name having two or more semantic labels, and each candidate relationship entity has a name that neither exists in the general language dictionary or the industry-specific dictionary. Each of the one or more candidate relationship entities in the first ontology is mapped to one or more entities in the second ontology using one or more configurable computer-implemented mapping algorithms.
摘要翻译：包括计算机程序产品的方法，装置和系统，用于在第一本体和第二本体之间映射实体时降低错误率。提供一个或多个通用语言字典和行业特定词典。执行第一本体的自然语言处理以识别第一本体中的一个或多个候选关系实体。每个候选关系实体包括具有两个或多个语义标签的复合名称，并且每个候选关系实体具有在通用语言字典或行业特定字典中既不存在的名称。使用一个或多个可配置的计算机实现的映射算法将第一本体中的一个或多个候选关系实体中的每一个映射到第二本体中的一个或多个实体。

6. 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.

7. 发明申请

US20140075278A1 SPREADSHEET SCHEMA EXTRACTION 审中-公开
公开(公告)号：US20140075278A1
公开(公告)日：2014-03-13
申请号：US13611258
申请日：2012-09-12
申请人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/00
CPC分类号： G06F17/2745 , G06F17/246
摘要： Aspects of the present invention provide a tool for extracting schema from a spreadsheet. In an embodiment, a set of data that is stored in an uncataloged tabular format, such as a spreadsheet, is retrieved. The structure of the retrieved set of data is surveyed to determine the dataset schema thereof. Then, data elements within the dataset schema are analyzed to obtain information regarding the data elements. Based on dataset schema and the element information, an interface can be constructed that allows remote access to the set of data.
摘要翻译：本发明的各方面提供了用于从电子表格中提取模式的工具。在一个实施例中，检索以非催化表格格式存储的一组数据，例如电子表格。检索检索到的数据集的结构以确定其数据集模式。然后，分析数据集模式中的数据元素以获得有关数据元素的信息。基于数据集模式和元素信息，可以构造允许远程访问数据集的接口。

8. 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。

9. 发明授权

US09037615B2 Querying and integrating structured and unstructured data 有权
标题翻译：查询和整合结构化和非结构化数据
公开(公告)号：US09037615B2
公开(公告)日：2015-05-19
申请号：US13493174
申请日：2012-06-11
申请人： Mihaela Ancuta Bornea , Songyun Duan , James J. Fan , Achille Fokoue-Nkoutche , Alfio M. Gliozzo , Aditya Kalyanpur , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela Ancuta Bornea , Songyun Duan , James J. Fan , Achille Fokoue-Nkoutche , Alfio M. Gliozzo , Aditya Kalyanpur , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30946 , G06F17/30292
摘要： A computer-implemented method, system, and article of manufacture for querying and integrating structured and unstructured data. The method includes: receiving entity information that is extracted from a first set of unstructured data using an open domain information extraction system, wherein the entity in-formation comprises relationship information between a first entity and a second entity of the first set of unstructured data; recognizing a pattern based on the relationship information and creating a schema for the first set of unstructured data based on the pattern; and associating an element of the created schema with (i) an entity of a second set of unstructured data or (ii) a schema element of an existing set of structured data if there is sufficient overall similarity between the created schema element and either the second unstructured data entity or the schema element of the existing structured data.
摘要翻译：用于查询和整合结构化和非结构化数据的计算机实现的方法，系统和制造。该方法包括：使用开放域信息提取系统接收从第一组非结构化数据提取的实体信息，其中所述实体信息包括第一组非结构化数据的第一实体与第二实体之间的关系信息; 基于所述关系信息识别模式，并基于所述模式为所述第一组非结构化数据创建模式; 并且将所创建的模式的元素与（i）第二组非结构化数据的实体相关联，或者（ii）现有结构化数据集合的模式元素，如果所创建的模式元素与第二组之间存在足够的总体相似度非结构化数据实体或现有结构化数据的架构元素。

10. 发明申请

US20130332478A1 QUERYING AND INTEGRATING STRUCTURED AND INSTRUCTURED DATA 有权
标题翻译：查询和整合结构化和结构化数据
公开(公告)号：US20130332478A1
公开(公告)日：2013-12-12
申请号：US13493174
申请日：2012-06-11
申请人： Mihaela Ancuta Bornea , Songyun Duan , James J. Fan , Achille Fokoue-Nkoutche , Alfio M. Gliozzo , Aditya Kalyanpur , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela Ancuta Bornea , Songyun Duan , James J. Fan , Achille Fokoue-Nkoutche , Alfio M. Gliozzo , Aditya Kalyanpur , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/30
CPC分类号： G06F17/30946 , G06F17/30292
摘要： A computer-implemented method, system, and article of manufacture for querying and integrating structured and unstructured data. The method includes: receiving entity information that is extracted from a first set of unstructured data using an open domain information extraction system, wherein the entity information comprises relationship information between a first entity and a second entity of the first set of unstructured data; recognizing a pattern based on the relationship information and creating a schema for the first set of unstructured data based on the pattern; and associating an element of the created schema with (i) an entity of a second set of unstructured data or (ii) a schema element of an existing set of structured data if there is sufficient overall similarity between the created schema element and either the second unstructured data entity or the schema element of the existing structured data.
摘要翻译：用于查询和整合结构化和非结构化数据的计算机实现的方法，系统和制造。该方法包括：使用开放域信息提取系统接收从第一组非结构化数据提取的实体信息，其中实体信息包括第一组非结构化数据的第一实体与第二实体之间的关系信息; 基于所述关系信息识别模式，并基于所述模式为所述第一组非结构化数据创建模式; 并且将所创建的模式的元素与（i）第二组非结构化数据的实体相关联，或者（ii）现有结构化数据集合的模式元素，如果所创建的模式元素与第二组之间存在足够的总体相似度非结构化数据实体或现有结构化数据的架构元素。

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