IP Library Granted Patent US 12,596,984
Granted Patent B2
US 12,596,984 · App. 18/724,770 · Granted Apr 7, 2026

Information generation apparatus, information generation method and program

Inventors: Xiaoxi Zhang (Tokyo, JP); Masahiro Sotoma (Tokyo, JP); Machiko Shinozuka (Tokyo, JP); Midori Kawada (Tokyo, JP); Minako Hara (Tokyo, JP)
Assignee: NTT, Inc.
G06Q10/0637G06F40/205
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Quick Facts
Patent No.
US 12,596,984
App. No.
18/724,770
Granted
Apr 7, 2026
Kind
B2
Abstract

An information generation apparatus includes a processor; and a memory storing instructions that cause the processor to execute a process. The process includes acquiring information associated with a selected field; extracting a subject matter from the acquired information; and generating time series information relating to the extracted subject matter.

Claims (37)

1 . An information generation apparatus comprising:

a processor; and

a memory storing instructions that cause the processor to execute a process, the process including

acquiring information associated with a selected field;

extracting a subject matter from the acquired information; and

generating time series information relating to the extracted subject matter,

wherein the generating time series information includes:

extracting, for each of the extracted plurality of subject matters, events relating to the subject matter based on information concerning the subject matter from past to future, and

generating information in which the extracted events are summarized in chronological order,

wherein the generating time series information further includes:

arranging the extracted subject matters within a basic analysis frame stored in a basic analysis frame DB, the basic analysis frame including at least one of a PEST analysis frame and an SDGs wedding cake frame, and

generating scenario information in which events associated with the subject matters are ordered along a time axis based on the positions of the subject matters in the basic analysis frame, and

grouping the information items and generating a plurality of scenarios while maintaining temporal consistency within each group upon determining that inconsistency occurs among information items;

wherein the process further includes outputting an image in which the plurality of subject matters extracted by the subject matter extraction unit are plotted on the selected analysis frame.

2 . The information generation apparatus according to claim 1 , wherein the process further comprises

calculating, when a plurality of subject matters are extracted, priority of the plurality of subject matters,

wherein the generating includes generating the time series information by prioritizing the subject matter with high priority.

3 . The information generation apparatus according to claim 1 , wherein the process further comprises

performing preprocessing for converting a sentence of the acquired information into a sentence suitable for natural language processing,

wherein the extracting includes extracting a subject matter from the preprocessed information by natural language processing.

4 . The information generation apparatus according to claim 1 , wherein the process further comprises

outputting an image in which the extracted subject matter is plotted on a selected analysis frame.

5 . The information generation apparatus according to claim 1 , wherein the outputting includes, when a user selects one of the plurality of subject matters plotted on the selected basic analysis frame, displaying detailed information and time series information related to the selected subject matter, and changing a display to show scenario information corresponding to the selected subject matter.

6 . The information generation apparatus according to claim 1 , wherein the time series information generation unit is configured to, when inconsistency occurs among information items, adjust an order of events so that consistency of events in time series within each information group is maintained.

7 . An information generation method executed by an information generation apparatus, the information generation method comprising:

acquiring information associated with a selected field;

extracting a subject matter from the acquired information; and

generating time series information relating to the extracted subject matter,

wherein the generating time series information includes:

extracting, for each of the extracted plurality of subject matters, events relating to the subject matter based on information concerning the subject matter from past to future, and

generating information in which the extracted events are summarized in chronological order,

wherein the generating time series information further includes:

arranging the extracted subject matters within a basic analysis frame stored in a basic analysis frame DB, the basic analysis frame including at least one of a PEST analysis frame and an SDGs wedding cake frame, and

generating scenario information in which events associated with the subject matters are ordered along a time axis based on the positions of the subject matters in the basic analysis frame, and

grouping the information items and generating a plurality of scenarios while maintaining temporal consistency within each group upon determining that inconsistency occurs among information items;

wherein the information generation method further includes outputting an image in which the plurality of subject matters extracted by the subject matter extraction unit are plotted on the selected analysis frame.

8 . A non-transitory computer-readable recording medium having computer-readable instructions stored thereon, which when executed, cause a computer to perform the information generation method according to claim 7 .

Assignments (2)
CHANGE OF NAME Recorded Aug 15, 2025
From: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
To: NTT, INC.
Reel/Frame 072490/0664 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: ZHANG, XIAOXI; SOTOMA, MASAHIRO; SHINOZUKA, MACHIKO; KAWADA, MIDORI; HARA, MINAKO
To: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Reel/Frame 067935/0595 →
Continuity (1)
Related Publication 20250117729A1 · Apr 10, 2025
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