Microsoft Technology Licensing, LLC

Sravya Narala

Dmitriy Meyerzon

John Michael Winn

Omar Zia Khan

John Guiver

Matteo Venanzi

Hui Li

Alexander Armin Spengler

Junyi Chai

Pavel Myshkov

Ivan Korostelev

Yordan Kirilov Zaykov

Elena Pochernina

Martin Kukla

Noura Farra

Mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. A plurality of entity records are generated within a knowledge graph for mined entity names from the entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity names. Pattern recognition is applied to an active document using an enterprise named entity recognition (ENER) system to identify potential entity names within the document that match a respective one of a plurality of entity records in the knowledge graph. One or more matching entity names are annotated within the document with information from the knowledge graph for the respective ones of the plurality of entity records. The annotated information is displayed with the active document.

Annotations for enterprise knowledge graphs using multiple toolkits

Growing community of inventors

Seattle, WA, United States of America

Sravya Narala