Graphical Map Generation from Text Content

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Solution Overview

Problem

Current methods lack an efficient way to automatically generate graphical maps from text content, which could enhance reading comprehension and experience, especially for transitioning from literature with pictures to more advanced texts that require developed reading skills.

Innovation Solution

The implementation of natural language processing (NLP) techniques to analyze text content, identify map elements and their characteristics, and generate graphical maps based on the furthest position read by a user, allowing for the display of spatial relationships and locations, using a system comprising a source computer system and a client computer system connected via a network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual creation of graphical maps is used to illustrate text content, then the visual representation can be detailed and accurate, but the time consumption and labor requirements increase significantly

Engineering Contradiction:
Improveaccuracy of graphical mapVSAvoidtime to create graphical map
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of creating graphical maps with an automated computer-based system that uses natural language processing to extract entities, relationships, and spatial information from text, automatically generating accurate graphical representations without manual intervention

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables the text content itself to generate the graphical map automatically through NLP techniques, where the computer system extracts and processes information directly from the text without requiring external manual input, making the creation process self-service and highly efficient

Inventive Principle:
Principle #25Self-service

2Loss of information

If graphical maps are generated for entire text content, then complete spatial information is provided, but the information overload reduces user comprehension for long texts

Engineering Contradiction:
Improvecompleteness of spatial informationVSAvoiduser comprehension
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent implements a dynamic graphical map system that automatically adjusts its content and scope based on the user's reading progress, transitioning from a static complete-map approach to a dynamic adaptive approach that provides appropriate information at each stage of reading

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses the user's reading progress as feedback to dynamically adjust the graphical map content, where the computer monitors reading position and automatically updates the map to display only relevant spatial information for the current reading stage, preventing information overload

Inventive Principle:
Principle #23Feedback

3Productivity

If traditional text-only presentation is used, then the content delivery is simple and fast, but the reading comprehension and engagement decrease for complex literary works

Engineering Contradiction:
Improvecontent delivery speedVSAvoidreading comprehension
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent adds a visual spatial dimension to traditional text content by generating graphical maps that represent locations, movements, and relationships, transforming one-dimensional text into a multi-dimensional presentation that enhances comprehension without sacrificing delivery speed

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system creates a multi-functional presentation that combines both text and graphical visualizations, allowing the content to serve multiple purposes: maintaining fast text delivery while simultaneously providing visual aids for improved comprehension and engagement

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10318559B2Generation of graphical maps based on text content
Publication Date: 2019.06.11 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10318559B2 patent drawing
  • US10318559B2 patent drawing
  • US10318559B2 patent drawing

AI summary

Text content is received. Map elements, and an associated text content position at which each of the map elements exist, are identified. One or more characteristics for each of the identified map elements are identified and associated with the corresponding identified map element, including the associated text content position. A furthest position of the text content read by a user of a user device is received. A graphical map is generated, displaying map locations of identified map elements and their associated characteristics, where the associated text content position of the identified map elements and the associated characteristics is up to the furthest position of the text content read by the user of the user device. The generated map is transmitted for display on the user device.