POI Information Extraction From Webpage Text for Route Planning

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users face inconvenience in finding and extracting point-of-interest (POI) information from scattered and unorganized articles across various applications and websites, requiring laborious manual searches.

Innovation Solution

A method and system that extracts POI information from a shared webpage link by analyzing the webpage text using natural language processing and entity recognition, presenting it in a unified manner, and facilitating one-stop management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If users manually search and extract POI information from scattered articles across various applications and websites, then POI information can be collected, but the process becomes laborious and time-consuming

Engineering Contradiction:

Improvetime for searching and extracting POI informationVSAvoidease of POI information collection

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The system automatically extracts POI information from webpage text without requiring user intervention. The processor autonomously obtains webpage content, identifies POI entities through natural language processing, and presents structured POI information, allowing the system to serve itself rather than requiring manual user effort for each extraction task

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-processes webpage content by obtaining and analyzing text before user requests. By performing entity recognition and POI extraction in advance when webpage links are detected or shared, the system prepares POI information ready for immediate presentation, eliminating the need for users to perform manual searches and extractions later

Inventive Principle:

Principle #10Preliminary action

2Loss of information

If POI information is extracted and presented from webpage links, then information organization is improved, but the system complexity increases due to natural language processing requirements

Engineering Contradiction:

Improveorganization of POI informationVSAvoidcomplexity of NLP processing system

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system introduces an intermediary natural language processing layer between raw webpage text and POI information presentation. This NLP intermediary performs entity recognition and information extraction, translating unstructured webpage content into structured POI data that can be easily organized and presented to users

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system extracts only the essential POI information elements from webpage text using entity recognition models. By selectively extracting relevant entities (such as location names, addresses, and key attributes) while filtering out unnecessary content, the system achieves effective information organization without requiring complete processing of all webpage text

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12511484B2Method for point-of-interest information management, electronic device, and storage medium

Publication Date: 2025.12.30 SHANGHAI PATEO ELECTRONIC EQUIPMENT MANUFACTURING CO LTD

AI summary

A point-of-interest (POI) information management method includes: obtaining a webpage link; obtaining a webpage text associated with the webpage link; obtaining at least one item of POI information matching the webpage text from a POI information repository; presenting the at least one item of the POI information; in response to a pre-determined operation being performed on a first item of the POI information of the at least one item of the POI information, presenting a route from a current location to an address indicated in the first item of the POI information and a first operable icon; and in response to detecting another pre-determined operation is performed on the first operable icon, setting the route as a target trip.