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Pré-Publication, Document De Travail Année : 2020

Bridging Complexity in Ontology Meta-Matching Through Interpretability

Résumé

Ontology meta-matching is essential for semantic web applications, as it helps align different ontologies, thereby ensuring interoperability and the seamless integration of knowledge. Yet, the opaqueness of numerous meta-matching algorithms has sparked issues around their transparency, leading to difficulties in trusting and utilizing their outcomes effectively. This research delves into the interpretability of ontology meta-matching, seeking to illuminate this crucial facet in the field of knowledge engineering.
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Dates et versions

hal-04503762 , version 1 (13-03-2024)

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  • HAL Id : hal-04503762 , version 1

Citer

Jorge Martinez-Gil. Bridging Complexity in Ontology Meta-Matching Through Interpretability. 2020. ⟨hal-04503762⟩
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