公开(公告)号：US09410815B1

公开(公告)日：2016-08-09

申请号：US14664602

申请日：2015-03-20

Applicant: GOOGLE INC.

Inventor： Takahito Hirano ,  Ryo Kawaguchi ,  Masanori Goto ,  Koichi Suematsu ,  Pawel Szczepanski ,  Takahiro Kosakai ,  Naoto Kaneko ,  Taj J. Campbell ,  Peter Foo ,  Kaori Kozai

IPC: G01C21/26 ,  G01C21/34 ,  G01C21/36

CPC classification number: G01C21/3407 ,  G01C21/3453 ,  G01C21/362 ,  G01C21/3667

Abstract: An entry point card displayed within a mapping application viewport may display context and other data based on a calendar appointment and other data that the user might, predictably, want to search for upon opening the mapping application. Using appointment information from a calendar application, an entry point card might display a time the user must leave his current location in order to make the appointment on time. Or, using a history of the user's routine errands or trips, the entry point card may display predicted information. For example, the card may display an amount of time to get to work or other information.

Abstract translation: 在映射应用视口中显示的入口点卡可以基于日历预约和用户可能预期地希望在打开映射应用程序时搜索的其他数据来显示上下文和其他数据。 使用日历应用程序的约会信息，入场卡可能会显示用户必须离开当前位置的时间，以便及时预约。 或者，使用用户的日常差错或旅程的历史记录，入口点卡可以显示预测信息。 例如，该卡可能显示上班时间或其他信息的时间。

公开(公告)号：US09442905B1

公开(公告)日：2016-09-13

申请号：US13930631

申请日：2013-06-28

Applicant: Google Inc.

Inventor： Ryo Kawaguchi

IPC: G06F17/30 ,  G06F17/22 ,  G06F17/27

CPC classification number: G06F17/2247 ,  G06F17/2705 ,  G06F17/272 ,  G06F17/277 ,  G06F17/30241 ,  G06F17/30864 ,  G06F17/3089

Abstract: Provided is a process of identifying a name and boundary of a neighborhood based on web documents, the process including: extracting, via one or more processors, an n-gram appearing in a plurality of web documents; associating the n-gram with geographic locations associated with the web documents from which the n-gram was extracted; identifying a neighborhood by identifying a cluster of geographic locations associated with the n-gram; determining a boundary for the neighborhood from the distribution of geographical locations in the cluster; determining a name for the neighborhood from the n-gram; and adding the name and boundary of the neighborhood to a geographic information system.

Abstract translation: 提供了一种基于web文档来识别邻域的名称和边界的过程，该过程包括：经由一个或多个处理器提取出现在多个web文档中的n-gram; 将n-gram与与提取n-gram的web文档相关联的地理位置相关联; 通过识别与所述n-gram相关联的地理位置的集群来识别邻域; 从集群中地理位置的分布确定邻域的边界; 从n-gram确定邻域的名称; 并将邻域的名称和边界添加到地理信息系统。