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.

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：US10438328B1

公开(公告)日：2019-10-08

申请号：US15380118

申请日：2016-12-15

Applicant: GOOGLE INC.

Inventor： Jyrki Alakuijala ,  Pascal Massimino ,  Lode Vandevenne

IPC: G06T5/00 ,  G06T7/90

Abstract: A method includes obtaining, at one or more computing devices, an input image, applying an image sharpening process to at least one of one or more chroma components of the input image, subsampling the one or more chroma components of the input image to reduce a spatial resolution of the one or more chroma components of the input image, encoding the input image subsequent to applying the image sharpening process and subsampling, and performing at least one of storing or transmitting the input image subsequent to encoding.