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Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation

Increasing quantities of semantic resources offer a wealth of human knowledge, but their growth also increases the probability of wrong knowledge base entries. The development of approaches that identify potentially spurious parts of a given knowledge base is therefore highly relevant. We propose an...

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Autors principals: Sebastian Mežnar, Matej Bevec, Nada Lavrač, Blaž Škrlj
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2022-12-01
Col·lecció:Machine Learning and Knowledge Extraction
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Accés en línia:https://www.mdpi.com/2504-4990/4/4/56
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