Microsoft Technology Licensing, LLC

Andrei Razvan Popov

Dmitriy Meyerzon

Jan-Ove Almli Karlberg

Åge Andre Kvalnes

John Michael Winn

Nikita Voronkov

Helge Grenager Solheim

John Guiver

Matteo Venanzi

Michael Thomas McLean

Jeffrey L Wight

Vladimir V Gvozdev

Alexander Armin Spengler

Ivan Korostelev

Andrei-Alin Corodescu

Pradeep Ganapathyraj

Christopher Andrew Boyd

Simon Thoresen Hult

Thuy Thanh Duong

Chia-Jiun Tan

Omar Faruk

Alexandru Savescu

Kadambari Sinha

Biatrice M Ambrosa

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

Retrieving stored data using a web service is provided. An access request from a user account may be received at a web service via a proxy. The web service may decode information received in the access request. The web service may then authorize the user account utilizing the decoded information. The web service may then determine a request type based on the access request. The web service may then send a response based on the determined request type, which is based on data retrieved from a data store.

Retrieving stored data using a web service

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Issaquah, WA, United States of America

Andrei Razvan Popov