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Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment

Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy string-matching algorithms have been developed for strings similarity detection and have been used in ontology alignment....

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Principais autores: Mohammed Suleiman Mohammed Rudwan, Jean Vincent Fonou-Dombeu
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2023-06-01
סדרה:Future Internet
נושאים:
ontology alignment
ontology matching
fuzzy string matching
machine learning
lexical alignment
semantic alignment
גישה מקוונת:https://www.mdpi.com/1999-5903/15/7/229
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