Invention Grant
- Patent Title: Discovery of implicit relational knowledge by mining relational paths in structured data
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Application No.: US15639275Application Date: 2017-06-30
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Publication No.: US10586176B2Publication Date: 2020-03-10
- Inventor: Kenneth J. Barker , Mihaela A. Bornea
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Edell, Shapiro & Finnan, LLC
- Agent Reza Sarbakhsh
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/02 ; G06N5/04
Abstract:
Predefined relation items on paths traversing predefined entities of a knowledge base are collected and feature sets are assembled from the collected relation items. A classifier is computed for the feature sets and a relation score of a query pair of the entities is computed using the classifier.
Public/Granted literature
- US20170300833A1 DISCOVERY OF IMPLICIT RELATIONAL KNOWLEDGE BY MINING RELATIONAL PATHS IN STRUCTURED DATA Public/Granted day:2017-10-19
Information query
