公开(公告)号：US20140280614A1

公开(公告)日：2014-09-18

申请号：US13801148

申请日：2013-03-13

Applicant: Google Inc.

Inventor： Jyrki Antero Alakuijala ,  Alexander Lyashuk

IPC: H04L12/58

CPC classification number: H04L51/32 ,  H04L51/02 ,  H04L51/063

Abstract: A system detects a message from a sender to a recipient, the message including a reference to external content. The system accesses a user model comprising interest information about interests of the sender or the recipient. The system identifies interest content from the external content as relevant to an interest from the interest information, generates a summarized content from the external content and based on the interest content and containing only a subset of information in the external content, and modifies the message to include the summarized content in the message.

Abstract translation: 系统检测从发送方到接收者的消息，该消息包括对外部内容的引用。 该系统访问包括关于发送者或接收者的兴趣的兴趣信息的用户模型。 该系统从外部内容识别与兴趣信息的兴趣相关的兴趣内容，从外部内容生成摘要内容，并且基于兴趣内容并且仅包含外部内容中的一部分信息，并将消息修改为 在消息中包含汇总的内容。

公开(公告)号：US10102291B1

公开(公告)日：2018-10-16

申请号：US14792583

申请日：2015-07-06

Applicant: Google Inc.

Inventor： Sebastian Steiger ,  Christopher Semturs ,  Henrik Grimm ,  Lode Vandevenne ,  Danila Sinopalnikov ,  Nathanael Martin Schärli ,  David Lecomte ,  Alexander Lyashuk

IPC: G06F17/30

Abstract: Computer-implemented systems and methods are disclosed for building knowledge bases, such as knowledge graphs, using context clouds. According to certain embodiments, a target object is identified in a portion of unstructured or semi-structured data in a target document, which does not conform to a predefined structure or pattern. A knowledge server may build a context cloud for the target document. The knowledge server may analyze one or more other documents stored in a networked database, to identify candidate documents that may include a meaning or relationship associated with the target object. The knowledge server may analyze one or more context clouds for the candidate documents to determine a meaning or relationship of the target object based on objects in the candidate document(s). The knowledge server may associate the determined meanings and/or relationships with the target object in the target document, thereby creating a new portion of a knowledge graph.

公开(公告)号：US10198491B1

公开(公告)日：2019-02-05

申请号：US14792519

申请日：2015-07-06

Applicant: Google Inc.

Inventor： Christopher Semturs ,  Lode Vandevenne ,  Danila Sinopalnikov ,  Alexander Lyashuk ,  Sebastian Steiger ,  Henrik Grimm ,  Nathanael Martin Schärli ,  David Lecomte

IPC: G06F17/00 ,  G06F17/30

Abstract: Computer-implemented systems and methods are provided for extracting and storing information regarding entities from documents, such as webpages. In one implementation, a system is provided that detects an entity candidate in a document and determines that the detected candidate is a new entity. The system also detects a known entity proximate to the known entity based on the one or more entity models. The system also detects a context proximate to the new and known entities having a lexical relationship to the known entity. The system also determines a second entity class associated with the known entity and a context class associated with the context. The system also generates a first entity class based on the second entity class and the context class. The system also generates an entry in the one or more entity models reflecting an association between the new entity and the first entity class.