Adding Vocabularies to the HIVE demo at RENCI.org: Step-by-step Pocesses

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Last Modified
  • February 28, 2019
Creator
  • Yao, Bo
    • Affiliation: School of Information and Library Science
Abstract
  • The demand for high quality metadata is growing in response to the massive growth of digital information and data. Traditionally, keywords and other metadata have been created by authors and professional indexers. However, manual metadata generation is increasingly insufficient, due to the digital information explosion and the growth of multidisciplinary digital environments. There is a growing need to develop, study, and advance knowledge about tools that automatically generate metadata, particularly tools that reach across different disciplines. This study addresses this need by introducing "HIVE" which supports automatic metadata generation by drawing descriptors from multiple SKOS (Simple Knowledge Organization Systems) encoded controlled vocabularies. First, HIVE's core components and key concepts are defined and discussed. Next, this study describes the step-by-step process of adding new controlled vocabularies into the HIVE demo at RENCI.org. The paper concludes by showing the result of the step-by-step process and addressing further steps of the HIVE project.
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DOI
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Rights statement
  • In Copyright
Advisor
  • Greenberg, Jane
Degree
  • Master of Science in Information Science
Degree granting institution
  • University of North Carolina at Chapel Hill
Extent
  • 36
Deposit record
  • fa217602-bbfb-49b5-8308-e409cefda097

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file details Adding Vocabularies to the HIVE demo at RENCI.org: Step-by-step Pocesses 2019-05-13 Public Download