Microsoft Technology Licensing, LLC

Chia-Jiun Tan

Dmitriy Meyerzon

Jan-Ove Almli Karlberg

Åge Andre Kvalnes

John Michael Winn

Nikita Voronkov

Helge Grenager Solheim

Carlos G Perez

John Guiver

Emmanuel Jose Miranda-Steiner

Can Mehmet Comertoglu

Matteo Venanzi

Vladimir V Gvozdev

Jeffrey L Wight

Alexander Armin Spengler

Ivan Korostelev

Andrei-Alin Corodescu

Simon Thoresen Hult

Thuy Thanh Duong

Nai Wen Shih

Omar Faruk

Andrei Razvan Popov

Christopher Steven Wolf

Emmanuel Miranda-Steiner

Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.

Enterprise knowledge graph

Non-limiting examples of the present application are directed to automatic adjustment and sharing of content. In one example, a distributed storage service may access content and automatically execute recognition processing for the content. The distributed storage service may automatically execute a clean-up operation on the content based on a result of execution of the recognition processing. A version of the cleaned-up content may be automatically transmitted to a distributed storage associated with a user account of the distributed storage service. As the distributed storage service is executing automatic operations on behalf of a user, the distributed storage service automatically generates a push notification indicating that the content is cleaned-up and ready to be shared with other user accounts of the distributed storage service. In some examples, the push notification may comprise the cleaned-up content. The push notification may be displayed on a client computing device.

Automatic clean-up and sharing of image content

The present disclosure describes a system and method to automatically extract image features from an image uploaded to an image processing service executing on a cloud server from an image capture device, determine an image classification based at least in part on the image features, transmit a request to the image capture device for an image action based at least in part on the image classification, and execute the image action on the image based at least in part on receiving the image action from the image capture device in response to the request.

Image action based on automatic feature extraction

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Bellevue, WA, United States of America

Chia-Jiun Tan