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  • × author_ss:"Wu, S."
  • × language_ss:"e"
  1. Wu, S.; Fan, Y.: Music literature indexing : comparing users' free-text queries and controlled vocabularies (2018) 0.01
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  2. Wu, S.; Fan, Y.: Music literature indexing : comparing users' free-text queries and controlled vocabularies (2018) 0.01
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  3. Henshaw, Y.; Wu, S.: RILM Index (Répertoire International de Littérature Musicale) (2021) 0.01
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    Abstract
    RILM Index is a partially controlled vocabulary designated to index scholarly writings on music and related subjects, created and curated by Répertoire International de Littérature Musicale (RILM). It has been developed over 50 years and has served the music community as a primary research tool. This analytical review of the characteristics of RILM Index reveals several issues, related to the Index's history, that impinge on its usefulness. An in-progress thesaurus is presented as a possible solution to these issues. RILM Index, despite being imperfect, provides a foundation for developing an ontological structure for both indexing and information retrieval purposes.
  4. Jörgensen, C.; Stvilia, B.; Wu, S.: Assessing the relationships among tag syntax, semantics, and perceived usefulness (2014) 0.01
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    Abstract
    With the recent interest in socially created metadata as a potentially complementary resource for image description in relation to established tools such as thesauri and other forms of controlled vocabulary, questions remain about the quality and reuse value of these metadata. This study describes and examines a set of tags using quantitative and qualitative methods and assesses relationships among categories of image tags, tag assignment order, and users' perceptions of usefulness of index terms and user-contributed tags. The study found that tags provide much descriptive information about an image but that users also value and trust controlled vocabulary terms. The study found no correlation between tag length and assignment order, and tag length and its perceived usefulness. The findings of this study can contribute to the design of controlled vocabularies, indexing processes, and retrieval systems for images. In particular, the findings of the study can advance the understanding of image tagging practices, tag facet/category distributions, relative usefulness and importance of these categories to the user, and potential mechanisms for identifying useful terms.