Providing third party answers
    1.
    发明授权

    公开(公告)号:US09824161B1

    公开(公告)日:2017-11-21

    申请号:US14074904

    申请日:2013-11-08

    Applicant: Google Inc.

    CPC classification number: G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a representation based on structured data in resources. The methods, systems, and apparatus include actions of obtaining search results for a search query. Each search result references a respective resource, the respective resources including a first resource and a second resource. Additional actions include determining a consistent value, that is consistent with both a value for a particular property as indicated by structured data in the first resource and a value for the particular property as indicated by structured data in the second resource. Further actions include in response to determining a consistent value, providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results.

    CLUSTERING OF FORMS FROM LARGE-SCALE SCANNED-DOCUMENT COLLECTION
    2.
    发明申请
    CLUSTERING OF FORMS FROM LARGE-SCALE SCANNED-DOCUMENT COLLECTION 有权
    从大规模扫描文件收集的表单集合

    公开(公告)号:US20130294690A1

    公开(公告)日:2013-11-07

    申请号:US13937118

    申请日:2013-07-08

    Applicant: Google Inc.

    Abstract: Techniques for identifying documents sharing common underlying structures in a large collection of documents and processing the documents using the identified structures are disclosed. Images of the document collection are processed to detect occurrences of a predetermined set of image features that are common or similar among forms. The images are then indexed in an image index based on the detected image features. A graph of nodes is built. Nodes in the graph represent images and are connected to nodes representing similar document images by edges. Documents sharing common underlying structures are identified by gathering strongly inter-connected nodes in the graph. The identified documents are processed based at least in part on the resulting clusters.

    Abstract translation: 公开了用于识别在大量文档集合中共享共同底层结构的文档和使用所识别的结构处理文档的技术。 处理文档集合的图像以检测形式之间共同或相似的预定图像特征集合的出现。 然后基于检测到的图像特征将图像索引到图像索引中。 构建节点图。 图中的节点表示图像,并通过边缘连接到表示类似文档图像的节点。 通过在图中收集强相互连接的节点来识别共享通用底层结构的文档。 至少部分地基于所得到的集群来处理所识别的文档。

    THIRD PARTY SEARCH APPLICATIONS FOR A SEARCH SYSTEM
    3.
    发明申请
    THIRD PARTY SEARCH APPLICATIONS FOR A SEARCH SYSTEM 有权
    第三方搜索系统的应用程序

    公开(公告)号:US20150026212A1

    公开(公告)日:2015-01-22

    申请号:US13960302

    申请日:2013-08-06

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/30483 G06F17/30864 G06F21/53 G06F21/74

    Abstract: Systems and methods offer a search system with third-party provided search applications that are triggered in response to specified queries and run at the search system. For example, a method may include determining that a query triggers a third party search application hosted at the search system, extracting a parameter from the query based on a query template, executing the third party search application with the parameter in a sandboxed manner at the search system to generate a third-party formatted answer for the query, and providing the third-party formatted answer as a search result for the query. The third party may provide the query template, parameter attributes, and the third party formatted answer. The third party search application may be stored at the search system and include the query template, a data store, the parameter attributes, and instructions for accessing the data store using the parameter.

    Abstract translation: 系统和方法为搜索系统提供了第三方提供的搜索应用程序,这些应用程序是响应指定的查询触发并在搜索系统上运行的。 例如,方法可以包括确定查询触发在搜索系统处托管的第三方搜索应用,基于查询模板从查询中提取参数,在沙盒方式下执行具有沙盒方式的参数的第三方搜索应用 搜索系统为查询生成第三方格式的答案,并将第三方格式的答案提供为查询的搜索结果。 第三方可以提供查询模板,参数属性和第三方格式的答案。 第三方搜索应用可以存储在搜索系统中,并且包括查询模板,数据存储,参数属性以及使用参数访问数据存储的指令。

    Clustering of forms from large-scale scanned-document collection
    4.
    发明授权
    Clustering of forms from large-scale scanned-document collection 有权
    从大型扫描文件收集中聚集表单

    公开(公告)号:US08744183B2

    公开(公告)日:2014-06-03

    申请号:US13937118

    申请日:2013-07-08

    Applicant: Google Inc.

    Abstract: Techniques for identifying documents sharing common underlying structures in a large collection of documents and processing the documents using the identified structures are disclosed. Images of the document collection are processed to detect occurrences of a predetermined set of image features that are common or similar among forms. The images are then indexed in an image index based on the detected image features. A graph of nodes is built. Nodes in the graph represent images and are connected to nodes representing similar document images by edges. Documents sharing common underlying structures are identified by gathering strongly inter-connected nodes in the graph. The identified documents are processed based at least in part on the resulting clusters.

    Abstract translation: 公开了用于识别在大量文档集合中共享共同底层结构的文档和使用所识别的结构处理文档的技术。 处理文档集合的图像以检测形式之间共同或相似的预定图像特征集合的出现。 然后基于检测到的图像特征将图像索引到图像索引中。 构建节点图。 图中的节点表示图像,并通过边缘连接到表示类似文档图像的节点。 通过在图中收集强相互连接的节点来识别共享通用底层结构的文档。 至少部分地基于所得到的集群来处理所识别的文档。

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