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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
  • *此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

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 Unfortunately, collected data is often incomplete, unstructured, or outdated, which can reduce the overall accuracy and reliability.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.

原文英語
主出版物標題CIIS 2025 - 2025 the 8th International Conference on Computational Intelligence and Intelligent Systems
發行者Association for Computing Machinery, Inc
頁面127-132
頁數6
ISBN(電子)9798400719332
DOIs
出版狀態已發佈 - 2026 2月 2
事件2025 The 8th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2025 - Okayama, 日本
持續時間: 2025 11月 212025 11月 23

出版系列

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

會議

會議2025 The 8th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2025
國家/地區日本
城市Okayama
期間2025/11/212025/11/23

ASJC Scopus subject areas

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 資訊系統

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