Subject matter context search engine

    公开(公告)号:US09311410B2

    公开(公告)日:2016-04-12

    申请号:US14449827

    申请日:2014-08-01

    CPC classification number: G06F17/30864 G06F17/30598 G06F17/3064

    Abstract: A search system associates contextual metadata with search terms and/or stored terms to facilitate identification of relevant information. In one implementation, a search term is identified (4304) from a received search request. The search term is then rewritten (4306) in standard form and the standard form term is then set (4308) as the current search parameter. A source database is then searched (4310) using the current search parameter. If any results are obtained (4312) these results may be output (4320) to the user. If no results are obtained, a parent classification of the search term is set (4316) as the current search parameter and the process is repeated. The invention thereby provides the ease of use of term searching with the comprehensiveness of category searching.

    Subject matter context search engine
    4.
    发明授权
    Subject matter context search engine 有权
    主题上下文搜索引擎

    公开(公告)号:US08832075B2

    公开(公告)日:2014-09-09

    申请号:US13757444

    申请日:2013-02-01

    CPC classification number: G06F17/30864 G06F17/30598 G06F17/3064

    Abstract: A search system associates contextual metadata with search terms and/or stored terms to facilitate identification of relevant information. In one implementation, a search term is identified (4304) from a received search request. The search term is then rewritten (4306) in standard form and the standard form term is then set (4308) as the current search parameter. A source database is then searched (4310) using the current search parameter. If any results are obtained (4312) these results may be output (4320) to the user. If no results are obtained, a parent classification of the search term is set (4316) as the current search parameter and the process is repeated. The invention thereby provides the ease of use of term searching with the comprehensiveness of category searching.

    Abstract translation: 搜索系统将上下文元数据与搜索项和/或存储的术语相关联,以便于相关信息的识别。 在一个实现中,从接收到的搜索请求中识别搜索项(4304)。 然后以标准形式重写(4306)搜索项,然后将标准形式项设置为(4308)作为当前搜索参数。 然后使用当前搜索参数搜索源数据库(4310)。 如果获得任何结果(4312),这些结果可以输出(4320)给用户。 如果没有获得结果,则将搜索项的父分类设置为当前搜索参数(4316),并重复该过程。 因此,本发明提供了具有类别搜索的全面性的术语搜索的易用性。

    Techniques for similarity analysis and data enrichment using knowledge sources

    公开(公告)号:US10210246B2

    公开(公告)日:2019-02-19

    申请号:US14864485

    申请日:2015-09-24

    Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

    TECHNIQUES FOR SIMILARITY ANALYSIS AND DATA ENRICHMENT USING KNOWLEDGE SOURCES
    8.
    发明申请
    TECHNIQUES FOR SIMILARITY ANALYSIS AND DATA ENRICHMENT USING KNOWLEDGE SOURCES 审中-公开
    使用知识来源进行类似分析和数据丰富的技术

    公开(公告)号:US20160092557A1

    公开(公告)日:2016-03-31

    申请号:US14864485

    申请日:2015-09-24

    Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

    Abstract translation: 本公开涉及使用知识源来执行相似性度量分析和数据丰富。 数据丰富服务可以将输入数据集与存储在知识源中的参考数据集进行比较,以识别类似的相关数据。 可以对应于两个或更多个数据集的语义相似度来计算相似性度量。 相似性度量可以用于基于其元数据属性和数据值来识别数据集,从而实现数据值的索引和高性能检索。 输入数据集可以基于与输入数据集具有最佳匹配的数据集来标记类别。 输入数据集与由知识源提供的数据集的相似性可用于查询知识源以获得关于数据集的附加信息。 附加信息可用于向用户提供建议。

    Application generator for data transformation applications
    9.
    发明授权
    Application generator for data transformation applications 有权
    应用程序生成器用于数据转换应用程序

    公开(公告)号:US09207917B2

    公开(公告)日:2015-12-08

    申请号:US14149566

    申请日:2014-01-07

    Abstract: A utility is provided for generating applications for a variety of data conversion or handling application environments. A user can use a graphical user interface to purpose application adaptable modules to define a desired application. In one implementation, the user interface includes a node tree panel and a process assembly panel. The node tree panel lists tool sets including transformations, maps and input-output tools. These tools can then be assembled together with identified data sources and then elements using the assembly panel to define an application. In this manner, an application is generated from a number of generic modules simply by linking the modules to perform a purpose of the desired application. In this manner, an application is generated from a number of generic modules simply by linking the modules to perform a purpose of the desired application.

    Abstract translation: 提供了一种实用程序,用于生成各种数据转换或处理应用程序环境的应用程序。 用户可以使用图形用户界面来指定应用适应性模块来定义所需的应用。 在一个实现中,用户界面包括节点树面板和过程组装面板。 节点树面板列出了包括转换,地图和输入输出工具的工具集。 然后,可以将这些工具与标识的数据源组合在一起,然后使用组装面板组件来定义应用程序。 以这种方式,通过简单地通过链接模块来执行所需应用的目的,从许多通用模块生成应用程序。 以这种方式,通过简单地通过链接模块来执行所需应用的目的,从许多通用模块生成应用程序。

    Subject Matter Context Search Engine
    10.
    发明申请
    Subject Matter Context Search Engine 有权
    主题上下文搜索引擎

    公开(公告)号:US20150032712A1

    公开(公告)日:2015-01-29

    申请号:US14449827

    申请日:2014-08-01

    CPC classification number: G06F17/30864 G06F17/30598 G06F17/3064

    Abstract: A search system associates contextual metadata with search terms and/or stored terms to facilitate identification of relevant information. In one implementation, a search term is identified (4304) from a received search request. The search term is then rewritten (4306) in standard form and the standard form term is then set (4308) as the current search parameter. A source database is then searched (4310) using the current search parameter. If any results are obtained (4312) these results may be output (4320) to the user. If no results are obtained, a parent classification of the search term is set (4316) as the current search parameter and the process is repeated. The invention thereby provides the ease of use of term searching with the comprehensiveness of category searching.

    Abstract translation: 搜索系统将上下文元数据与搜索项和/或存储的术语相关联,以便于相关信息的识别。 在一个实现中,从接收到的搜索请求中识别搜索项(4304)。 然后以标准形式重写(4306)搜索项,然后将标准形式项设置为(4308)作为当前搜索参数。 然后使用当前搜索参数搜索源数据库(4310)。 如果获得任何结果(4312),这些结果可以输出(4320)给用户。 如果没有获得结果,则将搜索项的父分类设置为当前搜索参数(4316),并重复该过程。 因此,本发明提供了具有类别搜索的全面性的术语搜索的易用性。

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