Comparative Study and Expansion of Metadata Standards for Historic Fashion Collections

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2023-09-27
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Abstract

The goal of the paper is to enhance the metadata standard of fashion collections by expanding the controlled vocabulary and metadata elements for Costume Core, a metadata schema designed specifically for fashion artifacts. Various techniques are employed to achieve this goal, including identifying new descriptors using word embedding similarity measurements and adding new descriptive terms for precise artifact descriptions to use when re-cataloging a university fashion collection in Costume Core. The paper also provides a sneak peek of the Model Output Confirmative Helper Application, which simplifies the vocabulary review process. Additionally, a survey was conducted to collect insights into how other fashion professionals use metadata when describing dress artifacts. The survey results reveal 1) commonly used metadata standards in the historic fashion domain; 2) sample metadata respondents use; and 3) partial potential metadata that can be appended to Costume Core, which is relevant to Virginia Tech’s Oris Glisson Historic Costume and Textile Collection. The expanded Costume Core resulting from the project offers a more comprehensive way of describing fashion collection holdings/artifacts. It has the potential to be adopted by the fashion collections to produce metadata that is findable, accessible, interoperable, and reusable.

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Costume Core, Natural language processing, Metadata, Survey, Fashion
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