Papers with DeepAlignment

1 papers
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors (N18-1)

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Challenge: Ontologies compartmentalize types and relations in a domain and require a process to establish alignments between entities to unify and extend existing knowledge.
Approach: They propose a method which refines pre-trained word vectors to derivate ontological entity descriptions tailored to the ontology matching task.
Outcome: The proposed method improves ontology matching performance over the current state-of-the-art.

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