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1. 发明授权

US08812411B2 Domains for knowledge-based data quality solution 有权
标题翻译：域为基于知识的数据质量解决方案
公开(公告)号：US08812411B2
公开(公告)日：2014-08-19
申请号：US13288957
申请日：2011-11-03
申请人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
发明人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
IPC分类号： G06F15/18
CPC分类号： G06N5/022 , G06F19/00 , G06N5/04 , G06Q10/067
摘要： The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services.
摘要翻译：主题公开涉及基于丰富的知识库的知识驱动的数据质量解决方案。数据质量解决方案可以提供持续的改进，并且可以基于持续（或持续）的知识获取。数据质量解决方案可以构建一次，可以重复使用多个数据质量改进，可以用于相同的数据或类似的数据。所公开的方面易于使用，并专注于生产力和用户体验。此外，所公开的方面是开放和可扩展的，并且可以应用于基于云的参考数据（例如，第三方数据源）和/或用户生成的知识。根据一些方面，所公开的方面可以与数据集成服务集成。

2. 发明申请

US20130117203A1 DOMAINS FOR KNOWLEDGE-BASED DATA QUALITY SOLUTION 有权
标题翻译：基于知识的数据质量解决方案的领域
公开(公告)号：US20130117203A1
公开(公告)日：2013-05-09
申请号：US13288957
申请日：2011-11-03
申请人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
发明人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
IPC分类号： G06F15/18
CPC分类号： G06N5/022 , G06F19/00 , G06N5/04 , G06Q10/067
摘要： The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services.
摘要翻译：主题公开涉及基于丰富的知识库的知识驱动的数据质量解决方案。数据质量解决方案可以提供持续的改进，并且可以基于持续（或持续）的知识获取。数据质量解决方案可以构建一次，可以重复使用多个数据质量改进，可以用于相同的数据或类似的数据。所公开的方面易于使用，并专注于生产力和用户体验。此外，所公开的方面是开放和可扩展的，并且可以应用于基于云的参考数据（例如，第三方数据源）和/或用户生成的知识。根据一些方面，所公开的方面可以与数据集成服务集成。

3. 发明申请

US20130117202A1 KNOWLEDGE-BASED DATA QUALITY SOLUTION 审中-公开
标题翻译：基于知识的数据质量解决方案
公开(公告)号：US20130117202A1
公开(公告)日：2013-05-09
申请号：US13288943
申请日：2011-11-03
申请人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
发明人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , David Faibish
IPC分类号： G06F15/18
CPC分类号： G06N5/02 , G06F16/215
摘要： The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services.
摘要翻译：主题公开涉及基于丰富的知识库的知识驱动的数据质量解决方案。数据质量解决方案可以提供持续的改进，并且可以基于持续（或持续）的知识获取。数据质量解决方案可以构建一次，可以重复使用多个数据质量改进，可以用于相同的数据或类似的数据。所公开的方面易于使用，并专注于生产力和用户体验。此外，所公开的方面是开放和可扩展的，并且可以应用于基于云的参考数据（例如，第三方数据源）和/或用户生成的知识。根据一些方面，所公开的方面可以与数据集成服务集成。

4. 发明申请

US20130117219A1 ARCHITECTURE FOR KNOWLEDGE-BASED DATA QUALITY SOLUTION 审中-公开
标题翻译：基于知识的数据质量解决方案的架构
公开(公告)号：US20130117219A1
公开(公告)日：2013-05-09
申请号：US13288954
申请日：2011-11-03
申请人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , Ronen Yaari
发明人： Joseph Malka , Elad Ziklik , Efim Hudis , Meir Raviv , Gadi Peleg , Ronen Yaari
IPC分类号： G06F17/30
CPC分类号： G06F16/215
摘要： The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services.
摘要翻译：主题公开涉及基于丰富的知识库的知识驱动的数据质量解决方案。数据质量解决方案可以提供持续的改进，并且可以基于持续（或持续）的知识获取。数据质量解决方案可以构建一次，可以重复使用多个数据质量改进，可以用于相同的数据或类似的数据。所公开的方面易于使用，并专注于生产力和用户体验。此外，所公开的方面是开放和可扩展的，并且可以应用于基于云的参考数据（例如，第三方数据源）和/或用户生成的知识。根据一些方面，所公开的方面可以与数据集成服务集成。

5. 发明申请

US20130117012A1 KNOWLEDGE BASED PARSING 审中-公开
标题翻译：基于知识的分类
公开(公告)号：US20130117012A1
公开(公告)日：2013-05-09
申请号：US13288942
申请日：2011-11-03
申请人： Yifat Orlin , Elad Ziklik , Gal Novik , Neta Haiby , Efim Hudis , Meir Raviv , Joseph I. Malka
发明人： Yifat Orlin , Elad Ziklik , Gal Novik , Neta Haiby , Efim Hudis , Meir Raviv , Joseph I. Malka
IPC分类号： G06F17/27
CPC分类号： G06Q10/00 , G06F17/277
摘要： The subject disclosure generally relates to parsing unstructured data based on knowledge of domains related to the unstructured data. A domain identification component can identify a set of domains related to a term in a data set. An inspection component can identify unmatched words, and unmatched related domains. A correlation component can compare the unmatched words to known values for the unmatched domains, and a manager component can match the unmatched words with the unmatched domains based on the comparison. In addition, combinations of the words can be generated based on a set of predetermined rules, and compared to the unmatched domains. Furthermore, delimiter based parsing can be employed to augment the knowledge based parsing.
摘要翻译：主题公开通常涉及基于与非结构化数据相关的域的知识来解析非结构化数据。域识别组件可以标识与数据集中的术语相关的一组域。检查组件可以识别不匹配的单词和不匹配的相关域。相关分量可以将不匹配的词与未匹配的域的已知值进行比较，并且管理器组件可以基于比较将不匹配的词与不匹配的域进行匹配。此外，可以基于一组预定规则来生成单词的组合，并且与不匹配的域进行比较。此外，可以使用基于分隔符的解析来增加基于知识的解析。

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