Invention Grant
- Patent Title: Enterprise knowledge graphs using enterprise named entity recognition
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Application No.: US16933907Application Date: 2020-07-20
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Publication No.: US12086546B2Publication Date: 2024-09-10
- Inventor: Dmitriy Meyerzon , Hui Li , Junyi Chai , Noura Farra
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Newport IP, LLC
- Agent Han Gim
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G06F16/31 ; G06F16/906 ; G06F40/205 ; G06N5/02

Abstract:
Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed, by an enterprise named entity recognition (ENER) model, to determine a plurality of entity names. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name.
Public/Granted literature
- US20220019740A1 ENTERPRISE KNOWLEDGE GRAPHS USING ENTERPRISE NAMED ENTITY RECOGNITION Public/Granted day:2022-01-20
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