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What is A Vector Space Model For Semantic Similarity about?

This paper presents a vector space model for calculating semantic similarity and aligning OWL ontologies, focusing on the efficient representation of entities as N-dimensional vectors based on their relationships in RDF labelled directed graphs. The authors adapt a graph matching algorithm to facilitate the ontology alignment process, demonstrating its effectiveness through testing with public test cases. The approach emphasizes the importance of a rigorous similarity measure for successful ontology alignme

Author

Duy Bảo Nguyễn

Language

EN