“Researchers propose a proximity measure that helps information systems recognize when features from different data sources refer to the same physical object, despite variations in how the data is recorded. This addresses a critical challenge in data integration and deduplication across distributed systems, improving data quality and accuracy in AI applications that combine information from multiple independent sources.”