Dynamic Local Area Word Database for Article Geolocation
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Solution Overview
Problem
Existing information processing systems struggle to accurately identify and specify local areas mentioned in articles, especially when the information is new and not present in existing databases, leading to difficulties in determining the relevance of such information.
Innovation Solution
An information processing device and method that extracts characteristic words from article data, searches for these words using a search device, and specifies the local area by associating the search results with geography information, even if the words are not initially stored in the database, allowing for the storage of new local area words with their corresponding geography information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a database is used to store local area words for specifying locations in articles, then information processing accuracy is improved, but new local area words that do not exist in the database cannot be identified
Solution Approach 1:
The system dynamically updates the local area word database by detecting new local area words from search results and automatically adding them to the database. This transforms the static database into a dynamic structure that evolves with new information, resolving the contradiction between maintaining high accuracy through established words and adapting to new words.
Solution Approach 2:
The system implements a feedback mechanism where search results are analyzed to identify new local area words, which are then fed back into the database for future use. This closed-loop feedback system ensures that the database continuously improves its coverage while maintaining accuracy through verified search result data.
2Productivity
If existing local area words in the database are used for information processing, then processing speed is improved, but relevance of new information cannot be determined
Solution Approach 1:
The system performs preliminary actions by proactively searching for and identifying new local area words before they are needed for information processing. By pre-populating the database with new words discovered through search operations, the system ensures both fast processing (using the database) and complete relevance information (including new words).
3Adaptability or versatility
If a search device is used to find new local area words, then adaptability to new information is improved, but information processing complexity increases
Solution Approach 1:
The information processing device is designed with multi-functionality, combining both the search device and database update capabilities within a single integrated system. This universal design allows the same device to perform multiple functions (searching, analyzing, updating) without requiring separate complex systems, thereby reducing overall system complexity while maintaining high adaptability.
Data Source
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Figure 3A~3B
AI summary
The invention acquires article data (S1), extracts characteristic words from the acquired article data (S2), specifies a characteristic word which is not stored as a local area word in a database 12b which stores a local area word indicating a local area in association with geography information for specifying the local area, from the extracted characteristic words (S3), acquires a result of searching performed in a search device, according to the specified characteristic word (S4 and S5), specifies a local area related to article data based on the search result and finds geography information (S6), and stores the specified characteristic word in the database 12b as the local area word in association with the specified local area (S7).