Hyperlink Classification Using Surrounding Text for Readable Documents

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Solution Overview

Problem

Users face challenges in maintaining readability of main documents with multiple hyperlinks, as they need to frequently visit and return to the main document, leading to a need for improved hyperlink management to enhance readability.

Innovation Solution

A method and system for classifying hyperlinks in a document by analyzing surrounding text strings to categorize them into pre-requisite, co-requisite, or post-requisite categories, using BERT models and self-attention mechanisms to predict hyperlink categories without visiting the links.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users visit multiple hyperlinks to understand concepts in a document, then information completeness is improved, but readability and continuity of the main document deteriorate

Engineering Contradiction:

Improveinformation completenessVSAvoidreadability

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system performs preliminary classification of hyperlinks into pre-requisite, co-requisite, and post-requisite categories based on analysis of surrounding text strings. This preliminary organization allows users to understand the document structure and information hierarchy before actually navigating to hyperlinks, improving both information completeness and reading continuity by enabling selective and structured hyperlink访问

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The classification system acts as an intermediary between the document content and hyperlink navigation. By introducing category labels (pre-requisite, co-requisite, post-requisite) as intermediate information, the system helps users understand when and why to visit hyperlinks without requiring immediate navigation, thus maintaining document readability while ensuring information completeness

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If hyperlinks are classified into multiple categories, then hyperlink management efficiency is improved, but system complexity increases

Engineering Contradiction:

Improvehyperlink management efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system changes the parameter of hyperlink classification by using a fixed set of three categories (pre-requisite, co-requisite, post-requisite) derived from temporal relationships. This parameter standardization improves management efficiency while controlling complexity, as the model only needs to learn three distinct classes rather than an unlimited number of categories

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces manual hyperlink classification mechanisms with an automated BERT-based natural language processing system. The model automatically analyzes surrounding text strings and assigns categories without requiring manual intervention, significantly improving productivity while the modular architecture of the BERT model keeps system complexity manageable

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12561514B2Method and system for classifying one or more hyperlinks in a document

Publication Date: 2026.02.24 SAMSUNG ELECTRONICS CO LTD

AI summary

A method and a system for classifying one or more hyperlinks in a document are provided. The method includes identifying the one or more hyperlinks in the document based on an analysis of text strings of the document. The method further includes analyzing surrounding text strings around each of the one or more hyperlinks and classifying, based on the analysis of the surrounding text strings around each of the one or more hyperlinks, the one or more hyperlinks into at least one category among a plurality of predetermined categories.