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1. 发明申请

US20100332424A1 DETECTING FACTUAL INCONSISTENCIES BETWEEN A DOCUMENT AND A FACT-BASE 有权
标题翻译：检测文件与实际基础之间的实际失效
公开(公告)号：US20100332424A1
公开(公告)日：2010-12-30
申请号：US12494399
申请日：2009-06-30
申请人： Indrajit Bhattacharya , Tanveer A. Faruquie , Shantanu Godbole , Mukesh K. Mohania , Ullas B. Nambiar
发明人： Indrajit Bhattacharya , Tanveer A. Faruquie , Shantanu Godbole , Mukesh K. Mohania , Ullas B. Nambiar
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N5/02
摘要： Techniques for identifying one or more inconsistencies between an unstructured document and a back-end fact-base are provided. The techniques include automatically parsing a query document and comparing the document with a back-end fact-base comprising facts relevant to the document, identifying one or more inconsistencies between information mentioned in the document and the facts stored in the back-end fact-base, and providing a response to the query document, wherein the response additionally includes the one or more identified inconsistencies.
摘要翻译：提供了用于识别非结构化文档和后端事实库之间的一个或多个不一致性的技术。这些技术包括自动解析查询文档并将文档与包含与该文档相关的事实的后端事实基础进行比较，识别文档中提及的信息与存储在后端事实库中的事实之间的一个或多个不一致并且向所述查询文档提供响应，其中所述响应另外包括所述一个或多个所识别的不一致性。

2. 发明申请

US20110320442A1 Systems and Methods for Semantics Based Domain Independent Faceted Navigation Over Documents 审中-公开
标题翻译：基于语义的领域独立面导航系统与方法
公开(公告)号：US20110320442A1
公开(公告)日：2011-12-29
申请号：US12823671
申请日：2010-06-25
申请人： Tanveer A. Faruquie , Mukesh K. Mohania , Ullas B. Nambiar
发明人： Tanveer A. Faruquie , Mukesh K. Mohania , Ullas B. Nambiar
IPC分类号： G06F17/30
CPC分类号： G06F16/958
摘要： Systems and associated methods providing a document corpus navigation interface including domain independent facets are described. Embodiments provide a list of domain independent facets, extract facet values from the document corpus, learn the facet values from the corpus, map each document to one of the values of each of the facets, and automatically determine a weight of the relationship.
摘要翻译：描述提供包括域独立小面的文档语料库导航界面的系统和相关方法。实施例提供了一个域独立方面的列表，从文档语料库中提取构面值，从语料库中学习构面值，将每个文档映射到每个方面的值之一，并自动确定关系的权重。

3. 发明授权

US08560505B2 Automatic selection of blocking column for de-duplication 失效
标题翻译：自动选择用于重复数据删除的阻止列
公开(公告)号：US08560505B2
公开(公告)日：2013-10-15
申请号：US13313518
申请日：2011-12-07
申请人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F7/00
CPC分类号： G06F17/30303
摘要： Blocking column selection can include determining a first parameter for each column set of a plurality of column sets, wherein the first parameter indicates distribution of blocks in the column set, and determining a second parameter for each column set. The second parameter can indicate block size for the column set. For each column set, a measure of blockability that is dependent upon at least the first parameter and the second parameter can be calculated using a processor. The plurality of column sets can be ranked according to the measures of blockability.
摘要翻译：阻塞列选择可以包括确定多个列集合的每个列集合的第一参数，其中第一参数指示列集合中的块的分布，以及为每个列集合确定第二参数。第二个参数可以指示列集的块大小。对于每个列集合，可以使用处理器来计算取决于至少第一参数和第二参数的可阻止性的度量。可以根据阻塞性的测量对多个列集进行排序。

4. 发明授权

US08996524B2 Automatically mining patterns for rule based data standardization systems 有权
标题翻译：自动挖掘基于规则的数据标准化系统的模式
公开(公告)号：US08996524B2
公开(公告)日：2015-03-31
申请号：US13415144
申请日：2012-03-08
申请人： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30705 , G06F17/2775 , G06F17/30675 , G06F2216/03 , G06Q10/06 , G06Q10/10 , G06Q30/02
摘要： Methods, computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.
摘要翻译：提供方法，计算机程序产品和系统用于挖掘文本数据集中的子模式。这些实施例有助于找到数据集内的N个经常出现的子模式的集合，从数据集中提取N个子模式，并将所提取的子模式聚类成K个组，其中每个提取的子模式被放置在基于距离值D的与其他提取的子模式相同的组，其确定子模式和同一组内的每个其他子模式之间的相似度。

5. 发明申请

US20120150825A1 Cleansing a Database System to Improve Data Quality 审中-公开
标题翻译：清理数据库系统以提高数据质量
公开(公告)号：US20120150825A1
公开(公告)日：2012-06-14
申请号：US12966281
申请日：2010-12-13
申请人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F17/30
CPC分类号： G06F16/217 , G06F16/215 , G06F16/2462
摘要： According to one embodiment of the present invention, a system controls cleansing of data within a database system, and comprises a computer system including at least one processor. The system receives a data set from the database system, and one or more features of the data set are selected for determining values for one or more characteristics of the selected features. The determined values are applied to a data quality estimation model to determine data quality estimates for the data set. Problematic data within the data set are identified based on the data quality estimates, where the cleansing is adjusted to accommodate the identified problematic data. Embodiments of the present invention further include a method and computer program product for controlling cleansing of data within a database system in substantially the same manner described above.
摘要翻译：根据本发明的一个实施例，系统控制数据库系统内的数据清理，并且包括包括至少一个处理器的计算机系统。系统从数据库系统接收数据集，并且选择数据集的一个或多个特征以确定所选特征的一个或多个特征的值。将确定的值应用于数据质量估计模型以确定数据集的数据质量估计。基于数据质量估计来识别数据集中的有问题的数据，其中调整清洁以适应所识别的有问题的数据。本发明的实施例还包括一种方法和计算机程序产品，用于以与上述基本相同的方式控制数据库系统内的数据清洗。

6. 发明授权

US08874600B2 System and method for building a cloud aware massive data analytics solution background 有权
标题翻译：用于构建云感知海量数据分析解决方案背景的系统和方法
公开(公告)号：US08874600B2
公开(公告)日：2014-10-28
申请号：US12697236
申请日：2010-01-30
申请人： Himanshu Gupta , Rajeev Gupta , Laurent S. Mignet , Mukesh K. Mohania , Ullas B. Nambiar
发明人： Himanshu Gupta , Rajeev Gupta , Laurent S. Mignet , Mukesh K. Mohania , Ullas B. Nambiar
IPC分类号： G06F17/30
CPC分类号： G06F17/30424
摘要： Embodiments of the invention provide data management solutions that go beyond the traditional warehousing system to support advanced analytics. Furthermore, embodiments of the invention relate to systems and methods for extracting data from an existing data warehouse, storing the extracted data in a reusable (intermediate) form using data parallel and compute parallel techniques over cloud, query processing over the data with/without compute parallel techniques, and providing querying using high level querying languages.
摘要翻译：本发明的实施例提供超越传统仓储系统以支持高级分析的数据管理解决方案。此外，本发明的实施例涉及用于从现有数据仓库提取数据的系统和方法，使用数据并行并以并行计算并行技术将提取的数据存储在可重复使用（中间）形式中，并且通过/不计算数据对数据进行查询处理并行技术，并使用高级查询语言提供查询。

7. 发明授权

US08560506B2 Automatic selection of blocking column for de-duplication 失效
标题翻译：自动选择用于重复数据删除的阻止列
公开(公告)号：US08560506B2
公开(公告)日：2013-10-15
申请号：US13447726
申请日：2012-04-16
申请人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F7/00
CPC分类号： G06F17/30303
摘要： A method of blocking column selection can include determining a first parameter for each column set of a plurality of column sets, wherein the first parameter indicates distribution of blocks in the column set, and determining a second parameter for each column set. The second parameter can indicate block size for the column set. For each column set, a measure of blockability that is dependent upon at least the first parameter and the second parameter can be calculated using a processor. The plurality of column sets can be ranked according to the measures of blockability.
摘要翻译：阻止列选择的方法可以包括为多个列集合的每个列集合确定第一参数，其中第一参数指示列集合中的块的分布，以及为每个列集合确定第二参数。第二个参数可以指示列集的块大小。对于每个列集合，可以使用处理器来计算取决于至少第一参数和第二参数的可阻止性的度量。可以根据阻塞性的测量对多个列集进行排序。

8. 发明授权

US10120916B2 In-querying data cleansing with semantic standardization 有权
公开(公告)号：US10120916B2
公开(公告)日：2018-11-06
申请号：US13493945
申请日：2012-06-11
申请人： Tanveer A. Faruquie , Mukesh K. Mohania , L. Venkata Subramaniam , Charles D. Wolfson
发明人： Tanveer A. Faruquie , Mukesh K. Mohania , L. Venkata Subramaniam , Charles D. Wolfson
IPC分类号： G06F17/30
摘要： The present invention relates to data cleansing, and in particular performing the semantic standardization process within a database before the transform portion of the extract-transform-load (ETL) process. Provided are a method, system and computer program product for standardizing data within a database engine, configuring the standardization function to determine at least one standardized value for at least one data value by applying the standardization table in a context of at least one data value, receiving a database query identifying the standardization function, at least one database value and the context of the data, and invoking the standardization function.

9. 发明申请

US20130332408A1 IN-QUERYING DATA CLEANSING WITH SEMANTIC STANDARDIZATION 审中-公开
标题翻译：使用语义标准进行数据清理
公开(公告)号：US20130332408A1
公开(公告)日：2013-12-12
申请号：US13956024
申请日：2013-07-31
申请人： Tanveer A. Faruquie , Mukesh K. Mohania , L. V. Subramaniam , Charles D. Wolfson
发明人： Tanveer A. Faruquie , Mukesh K. Mohania , L. V. Subramaniam , Charles D. Wolfson
IPC分类号： G06F17/30
CPC分类号： G06F16/254 , G06F16/215
摘要： The present invention relates to data cleansing, and in particular performing the semantic standardization process within a database before the transform portion of the extract-transform-load (ETL) process. Provided are a method, system and computer program product for standardizing data within a database engine, configuring the standardization function to determine at least one standardized value for at least one data value by applying the standardization table in a context of at least one data value, receiving a database query identifying the standardization function, at least one database value and the context of the data, and invoking the standardization function.
摘要翻译：本发明涉及数据清理，特别是在提取 - 转换 - 加载（ETL）处理的变换部分之前，在数据库中执行语义标准化处理。提供了一种用于对数据库引擎内的数据进行标准化的方法，系统和计算机程序产品，通过在至少一个数据值的上下文中应用标准化表来配置标准化功能以确定至少一个数据值的至少一个标准化值，接收识别标准化功能的数据库查询，至少一个数据库值和数据的上下文以及调用标准化功能。

10. 发明申请

US20110191781A1 RESOURCES MANAGEMENT IN DISTRIBUTED COMPUTING ENVIRONMENT 有权
标题翻译：分布式计算环境中的资源管理
公开(公告)号：US20110191781A1
公开(公告)日：2011-08-04
申请号：US12697228
申请日：2010-01-30
申请人： Hima P. Karanam , Tanveer A. Faruquie , L. Venkata Subramaniam , Mukesh K. Mohania , Girish Venkatachaliah
发明人： Hima P. Karanam , Tanveer A. Faruquie , L. Venkata Subramaniam , Mukesh K. Mohania , Girish Venkatachaliah
IPC分类号： G06F9/50
CPC分类号： G06F9/50
摘要： A method, system and a computer program product for determining resources allocation in a distributed computing environment. An embodiment may include identifying resources in a distributed computing environment, computing provisioning parameters, computing configuration parameters and quantifying service parameters in response to a set of service level agreements (SLA). The embodiment may further include iteratively computing a completion time required for completion of the assigned task and a cost. Embodiments may further include computing an optimal resources configuration and computing at least one of an optimal completion time and an optimal cost corresponding to the optimal resources configuration. Embodiments may further include dynamically modifying the optimal resources configuration in response to at least one change in at least one of provisioning parameters, computing parameters and quantifying service parameters.
摘要翻译：一种用于在分布式计算环境中确定资源分配的方法，系统和计算机程序产品。一个实施例可以包括在分布式计算环境中识别资源，计算供应参数，计算配置参数和响应一组服务水平协议（SLA）量化服务参数。该实施例还可以包括迭代地计算完成分配的任务所需的完成时间和成本。实施例还可以包括计算最佳资源配置并计算与最佳资源配置相对应的最佳完成时间和最优成本中的至少一个。实施例还可以包括响应于供应参数，计算参数和量化服务参数中的至少一个的至少一个变化来动态地修改最佳资源配置。

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