Colloquial Place Name Vector Mapping
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Solution Overview
Problem
Current systems fail to accurately handle and interpret colloquial geographic place names, which are not considered in traditional GPS or location-based technologies, leading to challenges in identifying user-inputted location information.
Innovation Solution
Developing a relational database that uses word-embedding algorithms to assign vectors to colloquial place names based on similarity, allowing for the identification and grouping of colloquial names associated with specific geographic locations, enabling accurate handling and interpretation of noisy colloquial place names.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional GPS or location-based technologies are used, then location data can be obtained, but user-inputted colloquial place names cannot be accurately handled or interpreted
Solution Approach 1:
The patent introduces an intermediary processing system that bridges traditional GPS location data and user-inputted colloquial place names. This system uses natural language processing and machine learning models to translate colloquial expressions into standardized geographic identifiers, enabling both precise location identification and adaptability to informal user input
Solution Approach 2:
The system dynamically adjusts processing parameters based on the type of input received. For colloquial place names, it activates natural language interpretation algorithms with adjusted thresholds for matching, while maintaining standard GPS processing for traditional location data, thus achieving both precision and versatility
2Adaptability or versatility
If colloquial place names are categorized categorically based on terminology, then grouping of similar terms is achieved, but accurate association with specific geographic locations is lost
Solution Approach 1:
The patent adds a geographic coordinate dimension to the categorical classification of colloquial place names. Instead of organizing terms solely by linguistic similarity, the system creates a multi-dimensional classification that maps colloquial expressions to their corresponding geographic coordinates, enabling both grouping and precise location association simultaneously
Data Source
AI summary
Provided are systems and methods directed to identifying relationships between colloquial place names in a relational database. In some embodiments, a method of identifying relationships between colloquial place names in a relational database comprises receiving geographic location information; generating a vector corresponding to the geographic location; comparing the geographic location information vector to a plurality of colloquial place name vectors in a relational database that maps a plurality of colloquial place names to a plurality of corresponding colloquial place name vectors in a vector space, to generate a plurality of similarity scores that is calculated based on the geographic location information vector and each colloquial place name vector of the plurality of colloquial place name vectors; and identifying that one or more colloquial place names in the relational database are related to the geographic location information based on the plurality of similarity scores.