OntoDup: Governance-Aware Entity Matching for Scholarly Knowledge Graph Deduplication

Scholarly knowledge graphs integrate bibliographic records from heterogeneous sources and therefore require controlled, auditable deduplication. This paper presents OntoDup, an ontology-driven approach that models entity matching as a governed decision process: Matching outcomes are recorded as reif...

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主要な著者:	Jorge Galán-Mena, Martín López-Nores, Daniel Pulla-Sánchez, Luis Fernando Guerrero-Vásquez, Juan Pablo Salgado-Guerrero
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-03-01
シリーズ:	Information
主題:	entity matching record linkage scholarly knowledge graphs deduplication knowledge governance large language models
オンライン･アクセス:	https://www.mdpi.com/2078-2489/17/4/325
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