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Investigations of Generative AI Applicability to Error Corrections in Map Information Collection Tool

  • Kadek Suarjuna Batubulan*
  • , Nobuo Funabiki
  • , Komang Candra Brata
  • , I. Nyoman Darma Kotama
  • , Yan Watequlis Syaifudin
  • , Wen Chung Kao
  • , Yi Fang Lee
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, we are developing a map information collection tool to assist a pedestrian navigation system. It collects building names and room numbers using Optical Character Recognition (OCR), geolocation techniques, and web scraping to extract necessary data from websites. Unfortunately, collected data is often incomplete, unstructured, or outdated, which can reduce the overall accuracy and reliability. In this paper, we investigate the accuracy of collected data by this tool through comparisons with reference data obtained from Google Maps API, and the applicability of generative AI models in detecting and correcting errors. For evaluations, we examine classification-based metrics such as precision, recall, and F1-score to measure the consistency and correctness of the collected data.

Original languageEnglish
Title of host publicationCIIS 2025 - 2025 the 8th International Conference on Computational Intelligence and Intelligent Systems
PublisherAssociation for Computing Machinery, Inc
Pages127-132
Number of pages6
ISBN (Electronic)9798400719332
DOIs
Publication statusPublished - 2026 Feb 2
Event2025 The 8th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2025 - Okayama, Japan
Duration: 2025 Nov 212025 Nov 23

Publication series

NameCIIS 2025 - 2025 the 8th International Conference on Computational Intelligence and Intelligent Systems

Conference

Conference2025 The 8th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2025
Country/TerritoryJapan
CityOkayama
Period2025/11/212025/11/23

Keywords

  • accuracy
  • generative AI
  • Google Maps API
  • map information collection
  • web scraping

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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