Automated Chronology Generation via Neural Event Extraction

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Solution Overview

Problem

Conventional methods for creating chronologies are labor-intensive, time-consuming, and prone to human error, especially when dealing with large volumes of diverse digital content.

Innovation Solution

A computer-implemented method that uses a pre-trained neural network model to extract event data from digital content, combining core content processing with metadata analysis to generate a database of events, which is then used to create an accurate and efficient chronology.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual methods are used to create chronologies, then professionals can extract pertinent information from documents, but the process demands significant time and effort and introduces the risk of human error

Engineering Contradiction:

Improveaccuracy of chronologyVSAvoidtime to generate chronology

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of reviewing documents and extracting information with an automated computer-implemented system. The system uses software to automatically process digital content, extract event data, and generate chronologies without human intervention in the extraction process, thereby eliminating human error and significantly reducing time requirements while maintaining or improving accuracy through systematic automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically processing digital content and generating chronologies without requiring professional intervention. The automated extraction and organization of event data allows the system to serve itself in creating accurate chronologies from large volumes of digital content, freeing professionals from time-consuming manual work while ensuring consistent accuracy through repeatable automated processes

Inventive Principle:

Principle #25Self-service

2Productivity

If traditional approaches are used to organize digital content, then professionals can review documents, but the volume of digital content continues to grow making the process increasingly inefficient

Engineering Contradiction:

Improvechronology generation efficiencyVSAvoidvolume of digital content

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The patent applies parameter changes by transforming the approach to handling digital content volume. Instead of manually processing each document, the system changes the processing parameters by using automated software that can handle large volumes of digital content simultaneously. The system extracts event data from multiple sources in parallel and processes increasingly large datasets efficiently, allowing productivity to scale with the volume of digital content rather than deteriorate

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system replaces the manual mechanical review process with automated computer-based processing capable of handling growing volumes of digital content. The automated extraction and organization mechanisms can process large quantities of documents efficiently, maintaining high productivity even as the volume of digital content increases, unlike manual methods where productivity declines with volume

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If existing methods are used to extract event data, then information can be retrieved, but the amalgamation of multiple information sources relating to a single event lacks a streamlined solution

Engineering Contradiction:

Improveevent data extraction processVSAvoidsystem for combining information sources

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent applies merging by combining multiple information sources relating to single events into a unified chronology. The system automatically extracts event data from various digital content sources and amalgamates them systematically, streamlining the complex process of integrating multiple information sources. This merging approach simplifies the operation by presenting a consolidated view of events while the underlying system handles the complexity of coordinating multiple sources automatically

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system achieves universality by creating a multi-functional automated platform that can extract, process, and amalgamate event data from diverse digital content sources through a single streamlined interface. The unified system performs multiple functions (extraction, processing, combination, and presentation) that would otherwise require separate manual operations, making the complex process of combining information sources easy to operate through automated multi-functionality

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250173313A1Method and System for Efficient Data Searching using Complex Search Criteria

Publication Date: 2025.05.29 PROPELR LTD

AI summary

There is described a computer-implemented method for generating chronologies, the method comprising: receiving one or more pieces of digital content, and for each piece of digital content: extracting core content from the piece of digital content; processing the core content using a pre-trained neural network model to extract one or more pieces of event data from the piece of digital content, the pieces of event data being linked to an event; combining a plurality of pieces of event data from the one or more pieces of digital content to generate a database of events; and generating a chronology using the database of events.