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Configurable web-services for biomedical document annotation.

Sérgio Matos1

  • 1DETI/IEETA, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal. aleixomatos@ua.pt.

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Summary
This summary is machine-generated.

This study introduces Neji, a flexible text processing and annotation framework. Its web services enable easy integration for biomedical information extraction, enhancing literature analysis.

Keywords:
Biomedical text miningNamed entity recognitionWeb-services

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Area of Science:

  • Biomedical Informatics
  • Text Mining
  • Bioinformatics

Background:

  • The exponential growth of biomedical literature necessitates efficient information extraction tools.
  • Existing annotation tools are often integrated into user-friendly applications for broader accessibility.

Purpose of the Study:

  • To describe the latest version of Neji, a web-services ready text processing and annotation framework.
  • To highlight Neji's modular architecture and built-in web services for integration into external tools and pipelines.

Main Methods:

  • Development of a web-services ready text processing and annotation framework (Neji).
  • Implementation of a modular and flexible architecture for diverse annotation needs.
  • Integration of built-in web services for seamless pipeline incorporation.

Main Results:

  • Neji offers a modular and flexible architecture adaptable to various annotation requirements.
  • Built-in web services facilitate integration into external tools and text mining pipelines.
  • Evaluation on the BioCreative V.5 challenge demonstrated Neji's flexibility and applicability.

Conclusions:

  • Neji provides a versatile framework for biomedical text processing and annotation.
  • Its web service capabilities enhance interoperability and performance in information extraction tasks.
  • The framework supports efficient data mining from the growing biomedical literature.