Terminal Screen Word Extraction for Search Automation
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Solution Overview
Problem
Workers face difficulties in extracting relevant information from terminal screens due to the lack of registered words in search engines, leading to hindered work operations, as existing methods fail to identify related information when unknown words are searched.
Innovation Solution
A data processing apparatus and method that acquires words from terminal screen content and determines their relevance using an inverted index database, allowing only registered words to be searched, thereby ensuring accurate information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a search engine is introduced to help workers find information, then information accessibility is improved, but workers still cannot find information unless they know the exact search keywords
Solution Approach 1:
The system automatically extracts keywords from the terminal screen content and performs searches without requiring worker intervention for keyword selection. The search engine serves itself by autonomously identifying search terms from the displayed content, eliminating the need for workers to manually input keywords.
Solution Approach 2:
The system introduces an intermediary component that sits between the terminal screen and the search engine. This intermediary automatically extracts meaningful keywords from the screen content and translates them into effective search queries, bridging the gap between the worker's information need and the search engine's requirements.
2Loss of information
If workers repeatedly search for information using different keywords, then they may eventually find relevant information, but work efficiency is reduced due to repeated searching
Solution Approach 1:
The system performs preliminary keyword extraction from the terminal screen content before the search operation. By pre-identifying relevant keywords automatically, the system eliminates the need for workers to engage in repeated trial-and-error searching, thus improving work efficiency while ensuring comprehensive information retrieval.
3Extent of automation
If existing methods extract words from terminal screen content for searching, then search automation is improved, but information cannot be extracted when words are not registered in the search engine
Solution Approach 1:
The system incorporates a feedback mechanism that checks whether extracted keywords yield relevant search results. If no relevant information is found, the system adjusts its keyword extraction strategy by selecting alternative words from the terminal screen content, ensuring that information extraction accuracy is maintained even when initial keyword choices are not registered in the search engine.
Data Source
AI summary
A data processing apparatus includes an acquisition unit that acquires words included in a displayed content of a terminal screen, and a determination unit that determines that the words acquired by the acquisition unit are search candidates in a case where the acquired words are included in an inverted index in which words and identification information of work data including the words are stored in association with each other.