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Knowledge Graph Generation Method for AI Systems

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Summary

Fujitsu Limited has filed a patent application (US20260094018A1) with the USPTO for a knowledge graph generation method enabling AI systems to process multiple input documents through cause-result relationships. The application was published on April 2, 2026, with inventors including Tatsuru Matsuo.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

The patent describes a three-stage knowledge graph generation method for AI systems. The first stage selects a primary entity from an initial knowledge graph containing events connected by cause-result relations based on a first input document. The second stage generates a second knowledge graph including entities representing events from a second input document related to the selected first entity. The third stage connects the first and second knowledge graphs through cause-result relations to form an integrated third knowledge graph.

This patent application does not impose compliance obligations on any regulated entity. Technology companies and AI developers may review the CPC classification G06N 5/022 for landscape awareness and assess potential licensing implications if developing similar knowledge graph technologies.

Archived snapshot

Apr 3, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

GENERATION METHOD, COMPUTER-READABLE RECORDING MEDIUM, AND INFORMATION PROCESSING DEVICE

Application US20260094018A1 Kind: A1 Apr 02, 2026

Assignee

Fujitsu Limited

Inventors

Tatsuru MATSUO

Abstract

A generation method includes, selecting a first entity from a first knowledge graph that includes a plurality of the first entities indicating events connected by a cause-result relation based on a first input document, generating a second knowledge graph that includes a second entity indicating each of events connected by a cause-result relation included in a second input document, that is related to the first entity, based on the selected first entity and the second input document, and generating a third knowledge graph by connecting the first knowledge graph and the second knowledge graph by processor.

CPC Classifications

G06N 5/022

Filing Date

2025-09-17

Application No.

19330896

View original document →

Named provisions

Generation Method Computer-Readable Recording Medium Information Processing Device

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Last updated

Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260094018A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Technology

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