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PPR-SSM: personalized PageRank and semantic similarity measures for entity linking.

Andre LamuriasPedro RuasFrancisco M Couto
Published in: BMC bioinformatics (2019)
We demonstrated that PPR-SSM outperforms state-of-the-art entity linking methods in four distinct gold standards, by taking advantage of the semantic information contained in ontologies. Moreover, PPR-SSM is a graph-based method that does not require training data. Our method improved the entity linking accuracy of chemical compounds by 0.1385 when compared to a method that does not use SSMs.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • data analysis
  • artificial intelligence