NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation.

Journal: Journal of biomedical semantics
Published Date: Jun 7, 2017

Abstract

BACKGROUND: Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across disparate datasets. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms.

Authors

  • Marcos Martínez-Romero
    Stanford Center for Biomedical Informatics Research, 1265 Welch Road, Stanford University School of Medicine, Stanford, CA, 94305-5479, USA. marcosmr@stanford.edu.
  • Clement Jonquet
    Stanford Center for Biomedical Informatics Research, 1265 Welch Road, Stanford University School of Medicine, Stanford, CA, 94305-5479, USA.
  • Martin J O'Connor
    Stanford Center for Biomedical Informatics Research, 1265 Welch Road, Stanford University School of Medicine, Stanford, CA, 94305-5479, USA.
  • John Graybeal
    Stanford Center for Biomedical Informatics Research, 1265 Welch Road, Stanford University School of Medicine, Stanford, CA, 94305-5479, USA.
  • Alejandro Pazos
    Department of Computer Science and Information Technologies, Faculty of Computer Science, CITIC-Research Center of Information and Communication Technologies, Universidade da Coruña, A Coruña, Spain.
  • Mark A Musen
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305-5479, United States. Electronic address: musen@stanford.edu.

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