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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Developing a web-based SKOS editor.

Mike Conway1, Artem Khojoyan2, Fariba Fana3

  • 1Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.

Journal of Biomedical Semantics
|April 6, 2016
PubMed
Summary
This summary is machine-generated.

We developed a free, open-source, web-based SKOS editor for managing health-related lexicons used in Natural Language Processing (NLP). This tool supports the creation and curation of SKOS resources for NLP applications.

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Area of Science:

  • Knowledge Organization
  • Natural Language Processing
  • Health Informatics

Background:

  • Simple Knowledge Organization System (SKOS) is the standard for representing vocabularies.
  • SKOS was developed by the World Wide Web Consortium (W3C) in 2005 and refined in 2009.
  • Health-related lexicons are crucial for Natural Language Processing (NLP) applications.

Purpose of the Study:

  • To describe the development of a web-based, free, open-source SKOS editor.
  • To facilitate the creation, curation, and management of small to medium-sized lexicons for health-related NLP.
  • To provide a tool for researchers and developers in the health informatics domain.

Main Methods:

  • Developed a web-based, free, open-source SKOS editor.
  • Tested the editor using five publicly-available SKOS vocabularies.
  • Conducted qualitative testing by developing lexicons for specific NLP tasks.

Main Results:

  • The SKOS editor enables users to create, curate, version, manage, and visualize SKOS resources.
  • The editor is suitable for managing small to medium-sized lexicons.
  • Successfully developed lexicons for identifying pneumonia symptoms and depression-related cues using the editor.

Conclusions:

  • The developed SKOS editor is the first of its kind: free, open-source, web-based, and capable of comprehensive SKOS lexicon management.
  • The tool supports the creation, curation, versioning, management, and visualization of SKOS lexicons.
  • This editor addresses a need for specialized tools in health-related NLP lexicon development.