Invention Grant
- Patent Title: Resource-efficient generation of a knowledge graph
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Application No.: US15815726Application Date: 2017-11-17
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Publication No.: US10824675B2Publication Date: 2020-11-03
- Inventor: Omar Rogelio Alonso , Vasileios Kandylas , Rukmini Iyer
- 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
- Main IPC: G06F16/30
- IPC: G06F16/30 ; G06F16/901 ; G06N5/02 ; G06F16/28 ; G06F16/242 ; G06F16/951 ; G06Q10/04

Abstract:
A technique is described for generating a knowledge graph that links names associated with a first subject matter category (C1) (such as brands) with names associated with a second subject matter category (C2) (such as products). In one implementation, the technique relies on two similarly-constituted processing pipelines, a first processing pipeline for processing the C1 names, and a second processing pipeline for processing the C2 names. Each processing pipeline includes three main stages, including a name-generation stage, a verification stage, and an augmentation stage. The generation stage uses a voting strategy to form an initial set of seed names. The verification stage removes noisy seed names. And the augmentation stage expands each verified name to include related terms. A final edge-forming stage identifies relationships between the expanded C1 names and the expanded C2 names using a voting strategy.
Public/Granted literature
- US20190155961A1 Resource-Efficient Generation of a Knowledge Graph Public/Granted day:2019-05-23
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