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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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Hoofdauteurs: Jorge Galán-Mena, Martín López-Nores, Daniel Pulla-Sánchez, Luis Fernando Guerrero-Vásquez, Juan Pablo Salgado-Guerrero
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-03-01
Reeks:Information
Onderwerpen:
entity matching
record linkage
scholarly knowledge graphs
deduplication
knowledge governance
large language models
Online toegang:https://www.mdpi.com/2078-2489/17/4/325
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