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Taxonmist- LAC Group

  • 24 Feb 2020 4:57 PM
    Message # 8767382

    Position Title:

    Taxonmist- LAC Group

    Position Description:

    LAC Group is seeking a Taxonomist to work with a major Federal Agency in Washington D.C. The selected individual will provide support data cleanup, assessment, migration, implementation, and ongoing system maintenance. This position will be part-time consisting of 20 hours per week for 2-3 months then convert to full-time (40 hours per week) with benefits.


    Support the creation and revision of GAO taxonomies, including: developing and sourcing terms, facets, and definitions; defining taxonomy structure; removing outdated terms; applying proper naming conventions, normalizing variants, and writing disambiguation rules.
    Support the writing and editing of rules for auto-classification and entity extraction
    Check and correct tagging, then compile corrections and updates for distribution in a weekly report.
    Support the adoption and implementation of new taxonomy software by migrating taxonomy terms and rules to the new system; advising on a new Standard Operating Procedure to document new processes; and other related tasks as needed.
    Confer with GAO staff regarding tasks undertaken to edit taxonomy, and provide input on taxonomy governance practices.

    MLS/MLIS or equivalent degree
    At least 2 years of experience in taxonomy development that demonstrates growing complexity
    A demonstrated understanding of the relationships between and uses of taxonomies, thesauri, ontologies, metadata management and application, controlled vocabularies, and authority control
    Superb verbal and written communication skills, and facility communicating effectively with remote colleagues.
    Expert proofreading, organizational, and research skills.
    Demonstrated ability to work collaboratively with teammates. Self-disciplined when working alone.
    Experience working with auto-categorization technology (either rule-based or machine-learning).
    Familiarity and experience with linked data concepts and standards such as RDF data modeling, semantic web, OWL, SKOS, SPARQL, and/or

    Application Process:



Mailing Address:
DC Library Association
 2 Massachusetts Ave. NE
 Unit #: 1653
Washington, DC 20013
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