Biomedical ontology alignment: an approach based on representation learning

Biomedical ontology alignment: an approach based on representation learning

Abstract Background While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learni...

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Bibliographic Details
Main Authors: Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith, Dimitris Kiritsis
Format: Article
Language:English
Published: BMC 2018-08-01
Series:Journal of Biomedical Semantics
Subjects:
Ontology matching
Semantic similarity
Sentence embeddings
Word embeddings
Denoising autoencoder
Outlier detection
Online Access:http://link.springer.com/article/10.1186/s13326-018-0187-8

Internet

http://link.springer.com/article/10.1186/s13326-018-0187-8

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