Keyword Derivation from Technical Document Fields

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Solution Overview

Problem

Current methods for analyzing technology trends, such as the Delphi technique, have low accuracy, and using abstract keywords from news and public announcements is inadequate for defining technical trends and deriving detailed technologies.

Innovation Solution

A method and apparatus that search technical documents using data fields like titles, summaries, and keywords to generate and score keyword sets, re-search documents, and derive representative keywords and documents, improving the accuracy of trend analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the Delphi technique is used to analyze technology trends by examining expert opinions, then comprehensive technology trend analysis can be achieved, but the accuracy is low (about 30%)

Engineering Contradiction:
Improveaccuracy of technology trend analysisVSAvoidcomplexity of analysis method
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the manual expert opinion-based Delphi technique with an automated data mining system that processes technical documents, keywords, and citations computationally to derive technology trends, thereby improving accuracy while reducing methodological complexity

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

Solution Approach 2:

The patent introduces an intermediary keyword derivation system that acts as a bridge between raw technical documents and technology trend analysis, using automated keyword extraction and document scoring to objectively identify technology trends without relying on subjective expert opinions

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If abstract keywords from news and public announcements are used to define technical trends, then broad coverage can be achieved, but the ability to define detailed technologies is inadequate

Engineering Contradiction:
Improvecoverage of technology trendsVSAvoidprecision of technology definition
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent segments the analysis into multiple levels: first extracting keywords from technical documents, then using those keywords to search and score documents, and finally deriving detailed technology definitions from the scored documents, thereby achieving both broad coverage and precise technology definition

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds a new dimension of analysis by using citation data and document scoring based on multiple data fields (title, summary, keywords) to transform abstract keyword matching into a multi-dimensional technology trend analysis that captures both breadth and depth

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

3Measurement precision

If multiple data fields (title, summary, keywords) are used to generate and score keyword sets, then representative keywords can be derived, but the processing complexity increases

Engineering Contradiction:
Improverepresentativeness of derived keywordsVSAvoidcomplexity of data processing
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary actions by first extracting keywords from multiple data fields (title, summary, keywords) to generate an initial keyword set, which is then scored and refined before being used for document searching and technology trend derivation, thereby managing complexity through staged processing

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11907278B2Method and apparatus for deriving keywords based on technical document database
Publication Date: 2024.02.20 SAMSUNG ELECTRONICS CO LTD
  • US11907278B2 patent drawing
  • US11907278B2 patent drawing
  • US11907278B2 patent drawing

AI summary

A method includes searching a technical document including a first, second, and third data fields based on search terms and search year ranges related to a technical field, generating a keyword set using the first, second, and third data fields of the searched technical document, scoring a plurality of keywords included in the keyword set, and selecting some of the plurality of keywords, re-searching the technical document related to the technical field, using the selected keywords, scoring the re-searched technical document to derive a representative document representing the technical field, and deriving a representative keyword representing the technical field, using the second data field included in the representative document, wherein the first data field includes a title of the technical document, the second data field includes a summary of the technical document, and the third data field includes keywords of the technical document.