OpenAIRE Non-Profit Civil Partnership

AIDeR: Precision-Oriented Author Name Matching for FAIR Scholarly Metadata Enrichment at Scale

Matching personal names across heterogeneous bibliographic datasets is a fundamental yet challenging string matching problem: variations in formatting, cultural conventions, abbreviations, and transliteration make it difficult to reliably identify when two name strings refer to t...

AIDeR: Precision-Oriented Author Name Matching for FAIR Scholarly Metadata Enrichment at Scale

Matching personal names across heterogeneous bibliographic datasets is a fundamental yet challenging string matching problem: variations in formatting, cultural conventions, abbreviations, and transliteration make it difficult to reliably identify when two name strings refer to t...