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mirMachine: A One-Stop Shop for Plant miRNA Annotation
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Published on: May 1, 2021

A UIMA wrapper for the NCBO annotator.

Christophe Roeder1, Clement Jonquet, Nigam H Shah

  • 1Center for Computational Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA. chris.roeder@ucdenver.edu

Bioinformatics (Oxford, England)
|May 28, 2010
PubMed
Summary
This summary is machine-generated.

This study integrates the National Center for Biomedical Ontology (NCBO) Annotator into the Unstructured Information Management Architecture (UIMA) framework. This enhances biomedical text mining by making ontology-based annotation a UIMA component.

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Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Natural Language Processing

Background:

  • The Unstructured Information Management Architecture (UIMA) framework is increasingly used for integrating biomedical text mining tools.
  • Web services offer a pathway for tool integration within UIMA workflows.

Purpose of the Study:

  • To wrap the National Center for Biomedical Ontology (NCBO) Annotator as a UIMA component.
  • To facilitate the integration of ontology-based annotation services into UIMA workflows.

Main Methods:

  • Developed a Java-based wrapper for the NCBO Annotator.
  • Integrated the wrapper into the UIMA framework.
  • Made the wrapper available as part of the UIMA tools distribution.

Main Results:

  • The NCBO Annotator is now available as a component within UIMA workflows.
  • This integration simplifies the use of ontology-based annotation in biomedical text mining.

Conclusions:

  • UIMA and web services are valuable for integrating biomedical text mining tools.
  • The developed wrapper enhances the utility of UIMA for biomedical natural language processing.