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Using sophisticated matching methods and rigorous evaluation criteria, we seek to:

— Establish a reliable methodology for comparing data between ATLAS and OSM. — Identify problematic cases requiring special attention. — Provide tools to facilitate the resolution of inconsistencies. — Contribute to the continuous improvement of public transport data quality in Switzerland.

This project is an advanced vulnerability management system that aggregates reports from multiple security scanners, deduplicates findings, and generates a consolidated view of vulnerabilities. The system uses natural language processing (NLP) and machine learning techniques to provide more meaningful vulnerability assessments with less redundancy.