Developing a web-based SKOS editor.

Journal: Journal of biomedical semantics
Published Date: Apr 4, 2016

Abstract

BACKGROUND: The Simple Knowledge Organization System (SKOS) was introduced to the wider research community by a 2005 World Wide Web Consortium (W3C) working draft, and further developed and refined in a 2009 W3C recommendation. Since then, SKOS has become the de facto standard for representing and sharing thesauri, lexicons, vocabularies, taxonomies, and classification schemes. In this paper, we describe the development of a web-based, free, open-source SKOS editor built for the development, curation, and management of small to medium-sized lexicons for health-related Natural Language Processing (NLP).

Authors

  • Mike Conway
    Department of Biomedical Informatics, School of Medicine University of Utah 421 Wakara Way Ste 140, Salt Lake City, UT 84108-3514, USA.
  • Artem Khojoyan
    Independent software developer, Kyiv, Ukraine.
  • Fariba Fana
    CALIT2, University of California San Diego, 9500 Gilman Drive, La Jolla, 92093 CA United States.
  • William Scuba
    Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.
  • Melissa Castine
    Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.
  • Danielle Mowery
    Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.
  • Wendy Chapman
    Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, 84108 UT United States.
  • Simon Jupp
    European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton Cambridge, CB10 1SD UK.

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