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    Data Services for Enterprises Leveraging Search System Data Assets
    2.
    发明申请
    Data Services for Enterprises Leveraging Search System Data Assets 审中-公开
    企业数据服务利用搜索系统数据资产

    公开(公告)号：US20130346464A1

    公开(公告)日：2013-12-26

    申请号：US13527601

    申请日：2012-06-20

    申请人： Tao Cheng ,  Kris Ganjam ,  Kaushik Chakrabarti ,  Zhimin Chen ,  Vivek R. Narasayya ,  Surajit Chaudhuri

    发明人： Tao Cheng ,  Kris Ganjam ,  Kaushik Chakrabarti ,  Zhimin Chen ,  Vivek R. Narasayya ,  Surajit Chaudhuri

    IPC分类号： G06F15/16

    CPC分类号： G06Q10/10

    摘要： A data service system is described herein which processes raw data assets from at least one network-accessible system (such as a search system), to produce processed data assets. Enterprise applications can then leverage the processed data assets to perform various environment-specific tasks. In one implementation, the data service system can generate any of: synonym resources for use by an enterprise application in providing synonyms for specified terms associated with entities; augmentation resources for use by an enterprise application in providing supplemental information for specified seed information; and spelling-correction resources for use by an enterprise application in providing spelling information for specified terms, and so on.

    摘要翻译： 本文描述了一种数据服务系统，其处理来自至少一个网络可访问系统（例如搜索系统）的原始数据资产以产生处理的数据资产。 企业应用程序可以利用已处理的数据资产来执行各种环境特定任务。 在一个实现中，数据服务系统可以生成以下任何一种：供企业应用使用的同义词资源，为与实体相关联的指定术语提供同义词; 增加资源供企业应用用于提供指定种子信息的补充信息; 以及企业应用程序为指定的术语提供拼写信息的拼写纠正资源等。

    Foreign-Key Detection
    3.
    发明申请
    Foreign-Key Detection 有权
    外键检测

    公开(公告)号：US20110208748A1

    公开(公告)日：2011-08-25

    申请号：US12709508

    申请日：2010-02-21

    申请人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Zhimin Chen

    发明人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Zhimin Chen

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30306

    摘要： This patent application relates to foreign-key detection. One implementation obtains a set of data tables. This implementation automatically determines foreign-key relationships of columns from separate tables of the set.

    摘要翻译： 本专利申请涉及外键检测。 一个实现获得一组数据表。 此实现将自动确定集合的不同表中的列的外键关系。

    Foreign-key detection
    4.
    发明授权
    Foreign-key detection 有权
    外键检测

    公开(公告)号：US08386529B2

    公开(公告)日：2013-02-26

    申请号：US12709508

    申请日：2010-02-21

    申请人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Zhimin Chen

    发明人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Zhimin Chen

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30306

    摘要： This patent application relates to foreign-key detection. One implementation obtains a set of data tables. This implementation automatically determines foreign-key relationships of columns from separate tables of the set.

    摘要翻译： 本专利申请涉及外键检测。 一个实现获得一组数据表。 此实现将自动确定集合的不同表中的列的外键关系。

    Database aggregation query result estimator
    5.
    发明授权
    Database aggregation query result estimator 有权
    数据库聚合查询结果估计器

    公开(公告)号：US07363301B2

    公开(公告)日：2008-04-22

    申请号：US11246355

    申请日：2005-10-07

    申请人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Rajeev Motwani ,  Mayur D. Datar

    发明人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Rajeev Motwani ,  Mayur D. Datar

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30489 ,  G06F17/30536 ,  G06F2216/03 ,  Y10S707/957 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99942 ,  Y10S707/99943

    摘要： Aggregation queries are performed by first identifying outlier values, aggregating the outlier values, and sampling the remaining data after pruning the outlier values. The sampled data is extrapolated and added to the aggregated outlier values to provide an estimate for each aggregation query. Outlier values are identified by selecting values outside of a selected sliding window of data having the lowest variance. An index is created for the outlier values. The outlier data is removed from the window of data, and separately aggregated. The remaining data without the outliers is then sampled to provide a statistically relevant sample that is then aggregated and extrapolated to provide an estimate for the remaining data. This sampled estimate is combined with the outlier aggregate to form an estimate for the entire set of data.

    摘要翻译： 通过首先识别异常值，聚合异常值和在修剪异常值之后对剩余数据进行采样来执行聚合查询。 采样数据被外推并加到聚合异常值中，以提供每个聚合查询的估计。 异常值通过选择具有最小方差的数据的所选滑动窗口之外的值来识别。 为异常值创建索引。 离群数据从数据窗口中移除，并单独汇总。 然后对没有异常值的剩余数据进行采样，以提供统计学上相关的样本，然后对其进行聚合和外插，以提供剩余数据的估计。 该采样估计与异常值聚合组合以形成整套数据的估计。

    Merging materialized view pairs for database workload materialized view selection
    6.
    发明授权
    Merging materialized view pairs for database workload materialized view selection 有权
    为数据库工作负载物化视图选择合并物化视图对

    公开(公告)号：US06356890B1

    公开(公告)日：2002-03-12

    申请号：US09629353

    申请日：2000-08-01

    申请人： Sanjay Agrawal ,  Surajit Chaudhuri ,  Vivek R. Narasayya

    发明人： Sanjay Agrawal ,  Surajit Chaudhuri ,  Vivek R. Narasayya

    IPC分类号： G06F1730

    CPC分类号： G06F17/30321 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99935

    摘要： An index and materialized view selection wizard produces a fast and reasonable recommendation for a configuration of indexes, materialized views, and indexes on materialized views which are beneficial given a specified workload for a given database and database server. Candidate materialized views and indexes are obtained, and a joint enumeration of the combined materialized views and indexes is performed to obtain a recommended configuration. The configuration includes indexes, materialized views and indexes on materialized views. Candidate materialized views are obtained by first determining subsets of tables are referenced in queries in the workload and then finding interesting table subsets. Next, interesting subsets are considered on a per query basis to determine which are syntactically relevant for a query. Materialized views which are likely to be used for the workload are then generated along with a set of merged materialized views. Clustered indexes and non-clustered indexes on materialized views are then generated. The indexes, materialized views and indexes on materialized views are then enumerated together to form the recommended configuration.

    摘要翻译： 索引和物化视图选择向导可以为物理视图的索引，物化视图和索引配置提供快速合理的建议，这对给定数据库和数据库服务器的指定工作负载是有益的。 获取候选物化视图和索引，并执行组合实例化视图和索引的联合枚举，以获得推荐的配置。 配置包括物化视图的索引，物化视图和索引。 通过首先确定表中的子集在工作负载中的查询中引用并且然后找到有趣的表子集来获得候选物化视图。 接下来，在每个查询的基础上考虑有趣的子集，以确定哪个在查询语法上相关。 可能用于工作负载的物化视图随同一组合并物化视图一起生成。 然后生成物化视图上的聚簇索引和非聚集索引。 然后将物化视图的索引，物化视图和索引列在一起以形成推荐的配置。

    Application and database context correlation for database application developers
    8.
    发明授权
    Application and database context correlation for database application developers 有权
    数据库应用程序开发人员的应用程序和数据库上下文相关性

    公开(公告)号：US08307343B2

    公开(公告)日：2012-11-06

    申请号：US11875616

    申请日：2007-10-19

    申请人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Manoj A. Symala

    发明人： Surajit Chaudhuri ,  Vivek R. Narasayya ,  Manoj A. Symala

    IPC分类号： G06F9/44 ,  G06F7/00 ,  G06F17/30

    CPC分类号： G06F17/30306 ,  G06F8/20 ,  G06F11/3476 ,  G06F11/366 ,  G06F17/3041 ,  G06F2201/86

    摘要： Infrastructure for capturing and correlating application context and database context for tuning, profiling and debugging tasks. The application context can include events such as data access events, and the database context can include events such as database server events. The events can be obtained from server tracing, data access layer tracing, and/or application tracing and written into respective log files. A data access event can indicate that an application consumed a row from a result set returned from a DBMS query. A post-processing step can correlate the application and database contexts by tokenizing strings and computing intersections between the tokenized strings. A tool inside a development environment may also suggest a query hint for the database or a data access API for the application based on the correlated context.

    摘要翻译： 用于捕获和关联应用程序上下文和数据库上下文以进行调整，分析和调试任务的基础结构。 应用程序上下文可以包括诸如数据访问事件的事件，并且数据库上下文可以包括诸如数据库服务器事件的事件。 可以从服务器跟踪，数据访问层跟踪和/或应用程序跟踪获取事件，并将其写入相应的日志文件。 数据访问事件可以指示应用程序从DBMS查询返回的结果集中消耗了一行。 后处理步骤可以通过标记字符串和计算标记字符串之间的交集来关联应用程序和数据库上下文。 开发环境内的工具也可能建议基于相关上下文的数据库查询提示或应用程序的数据访问API。

    AUTOMATIC ASSIGNMENT FOR DOCUMENT REVIEWING
    9.
    发明申请
    AUTOMATIC ASSIGNMENT FOR DOCUMENT REVIEWING 审中-公开
    文件审查自动转让

    公开(公告)号：US20090094086A1

    公开(公告)日：2009-04-09

    申请号：US11866417

    申请日：2007-10-03

    申请人： Nicolas Bruno ,  Vivek R. Narasayya ,  Surajit Chaudhuri

    发明人： Nicolas Bruno ,  Vivek R. Narasayya ,  Surajit Chaudhuri

    IPC分类号： G06Q10/00 ,  G06F3/00

    CPC分类号： G06Q10/00 ,  G06Q10/06311

    摘要： Assignment algorithm for automatically making assignments between documents and document reviewers for a review process. If the automated assignments need adjusting, a coordinator can manually refine the assignment(s). The assignment algorithm facilitates the automated assignment process based on inputs related to a constraint and/or a preference. The constraints and preferences include, but are not limited to, a conflict of interest, a minimum number of reviews, a maximum number of submissions, a partial assignment, bidding preferences, and health metrics. Once the assignments have been made, histograms can be generated that present an overview of certain health metrics, further allowing refinement of the assignment process.

    摘要翻译： 分配算法用于自动进行文档和文档审阅者之间的分配以进行审核。 如果自动分配需要调整，协调员可以手动优化任务。 分配算法有助于基于与约束和/或偏好相关的输入的自动分配过程。 限制和偏好包括但不限于利益冲突，最小审查次数，最大提交数量，部分分配，出价偏好和健康度量。 一旦作出了分配，就可以生成直方图，显示某些健康指标的概述，进一步允许改进分配过程。