Search Term Extraction for Document Pages
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Solution Overview
Problem
Existing search material information systems fail to effectively propose suitable search terms for each page of material, leading to inefficient searching, as the search terms attached to materials do not always reflect user intentions.
Innovation Solution
A search material information storage device that extracts keywords and topic words from material pages, using a combination of hardware and software units to propose suitable search terms by evaluating and scoring terms, keywords, and topic words, allowing for effective storage and retrieval of search terms associated with each page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search terms are manually attached to materials, then search functionality is provided, but the search terms do not accurately reflect user intentions and search efficiency is low
Solution Approach 1:
The system automatically extracts keywords from material content and generates search terms without requiring manual input from users. The keyword extraction unit analyzes material text and autonomously produces search terms that reflect the actual content, enabling the system to serve itself in creating accurate search indices.
Solution Approach 2:
The patent replaces manual mechanical processes of attaching search terms with automated computational processes. The keyword extraction unit uses text analysis algorithms to automatically generate search terms from material content, substituting human manual work with computational automation that is both faster and more accurate.
2Measurement precision
If multiple processing units are used to extract and evaluate terms, then search term quality is improved, but system complexity increases
Solution Approach 1:
The system divides the search term generation process into distinct functional units: a keyword extraction unit that identifies important terms from material content, and a search term candidate extraction unit that generates potential search terms from those keywords. This segmentation allows each unit to specialize in a specific task, improving overall accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The processing units are designed to handle multiple functions within a unified framework. The keyword extraction unit can process different types of material content, and the search term candidate extraction unit can generate various types of search terms using the same underlying mechanisms, reducing complexity through reuse of common processing logic.
Data Source
AI summary
To provide a system capable of appropriately proposing a search term candidate for each page of a document. Provided is a search document information storage device comprising: a vocabulary extraction means 3; a keyword storage means 5; a keyword extraction means 7; a topic term storage means 9; a topic term extraction means 11; a search term candidate extraction means 13; a search term candidate display means 17; a search term input means 19; and a document search information storage means 21.