公开(公告)号：US09866927B2

公开(公告)日：2018-01-09

申请号：US15135828

申请日：2016-04-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Kris Ganjam ,  David Douglas DeBarr ,  Navendu Jain

IPC: G08C19/22 ,  H04Q9/00 ,  H04L29/08 ,  G06F17/30

CPC classification number: H04Q9/00 ,  G06F17/30525 ,  G06F17/30528 ,  G06K9/00671 ,  H04L67/12

Abstract: Sensor data from multiple sensors associated with a user is received. The sensors may include sensors of a smart phone, and sensors associated with other devices such as fitness trackers, video game consoles, and cameras. The sensor data is processed to identify entities such as persons, locations, and objects that may be of interest to the user. A personal digital assistant application can present information related to the identified entities to the user, and can allow the user to perform various queries with respect to the identified entities, and previously identified entities. In addition, the identified entities can be used to trigger one or more rules including recording when and where a particular entity is identified, and generating an alert when a particular entity is identified.

公开(公告)号：US20170322964A1

公开(公告)日：2017-11-09

申请号：US15661269

申请日：2017-07-27

Applicant: Microsoft Technology Licensing, LLC

Inventor： Zhongyuan Wang ,  Kanstantsyn Zoryn ,  Zhimin Chen ,  Kaushik Chakrabarti ,  James P. Finnigan ,  Vivek R. Narasayya ,  Surajit Chaudhuri ,  Kris Ganjam

IPC: G06F17/30

CPC classification number: G06F16/2282 ,  G06F16/211 ,  G06F16/221 ,  G06F16/2455 ,  G06F16/284 ,  G06F16/901 ,  G06F16/951 ,  G06F16/955

Abstract: The present invention extends to methods, systems, and computer program products for understanding tables for search. Aspects of the invention include identifying a subject tuple (e.g., a subject column) for a table, detecting a tuple header (e.g., a column header) using other tables, and detecting a tuple header (e.g., a column header) using a knowledge base. Implementations can be utilized in a structured data search system (SDSS) that indexes structured information, such as, tables in a relational database or html tables extracted from web pages. The SDSS allows users to search over the structured information (tables) using different mechanisms including keyword search and data finding data.