Automated POI Data Collection and Filtering System
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Solution Overview
Problem
The challenge lies in efficiently collecting and filtering a large quantity of Point of Interest (POI) related information from the web, as existing methods are time-consuming and labor-intensive, leading to inconsistent results due to the vast amount of data and difficulty in maintaining unity in data collection and analysis.
Innovation Solution
A POI related information processing system that includes a device capable of creating queries based on business name and address information, collecting and filtering POI related information using predefined rules, and storing the filtered data in conjunction with POI information, utilizing a device communication unit, collection module, filter, and parser to enhance efficiency and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data collection and analysis is performed by a person, then data consistency can be maintained, but the processing speed is very slow and it is almost impossible when the number of stores increases
Solution Approach 1:
The patent introduces an automated information processing system that acts as an intermediary between data sources and analysis. The system includes a collection unit that automatically gathers data from multiple sources, a filtering unit that applies predefined rules to filter data, and an analysis unit that processes filtered information. This automated intermediary system resolves the contradiction by maintaining data consistency through systematic processing while dramatically increasing processing speed compared to manual methods.
Solution Approach 2:
The patent replaces the mechanical manual process of data collection and analysis with an automated electronic system. The collection unit, filtering unit, and analysis unit work together as an automated mechanism that substitutes human labor. This substitution maintains reliability through consistent application of filtering rules while achieving high processing speeds capable of handling large numbers of stores simultaneously.
2Quantity of substance
If a large amount of POI related information is collected from the web, then comprehensive data coverage is achieved, but the time and efforts spent in collecting and analyzing the data increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining filtering rules and criteria before data collection begins. The filtering unit is configured with predefined rules that automatically filter POI related information during the collection process. This preliminary setup enables the system to process large volumes of data quickly by eliminating irrelevant information early in the workflow, thus achieving comprehensive data coverage without proportionally increasing collection time.
Solution Approach 2:
The patent implements continuous useful action through an automated processing pipeline where the collection unit continuously gathers data, the filtering unit continuously applies filtering rules, and the analysis unit continuously processes filtered information. This continuous automated operation allows the system to handle large amounts of POI related information efficiently, maintaining high data coverage while minimizing the time loss compared to intermittent manual processing.
3Productivity
If automated information collection is performed, then processing speed increases, but it becomes difficult to maintain unity and consistency in data collection and analysis
Solution Approach 1:
The patent applies universality by designing a standardized automated processing system that handles multiple data sources and POI types through a unified framework. The collection unit, filtering unit, and analysis unit form a universal processing pipeline that applies consistent rules across diverse data. This universal approach maintains data consistency while achieving high processing speeds across various POI categories and sources.
Solution Approach 2:
The patent utilizes parameter changes by allowing the filtering rules and analysis criteria to be dynamically adjusted while maintaining the automated processing framework. The system can modify filtering parameters, data source parameters, and analysis parameters without losing the benefits of automation. This flexibility enables the system to adapt to different data types and requirements while maintaining consistency through structured parameter management.
Data Source
AI summary
Provided are a point of interest (POI) related information processing system and method and an apparatus for supporting the same. The POI related information processing system includes at least one POI related information providing device that provides POI related information including specific business name information and at least a part of address information, and a POI related information processing device that creates a query based on business name information of at least one piece of specific POI information and at least a part of address information thereof, collects the POI related information associated with corresponding POI information based on a corresponding query from the at least one POI related information providing device, collects a predefined certain amount of the POI related information by performing at least one filtering in accordance with a predefined rule, and then stores and operates the collected information in conjunction with the POI information.