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        <datestamp>2025-12-24</datestamp>
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      <dc:title>Using Schema and Value Vocabularies to Provide Consistency Across Structured Content</dc:title>
      <dc:creator>Busch, Joseph</dc:creator>
      <dc:creator>Erickson, Lief</dc:creator>
      <dc:creator>Hedden, Heather</dc:creator>
      <dc:creator>Urbina, Noz</dc:creator>
      <dc:creator>Winstanley, Peter</dc:creator>
      <dc:subject>application profiles</dc:subject>
      <dc:subject>schema vocabularies</dc:subject>
      <dc:subject>value vocabularies</dc:subject>
      <dc:subject>Dublin Core</dc:subject>
      <dc:subject>DITA</dc:subject>
      <dc:subject>DCAT</dc:subject>
      <dc:subject>iiRDS</dc:subject>
      <dc:description>Application profiles provide a framework for structuring information through two types of vocabularies: schema vocabularies, which specify properties and attributes, and value vocabularies, which define valid instances for those properties. While schema vocabularies are crucial for interoperability across federated resources and data systems, value vocabularies ensure consistency, discoverability, and reusability by reducing ambiguity in tagging, filtering, and concept relationships. This panel brings together experts in taxonomy, content strategy, and semantic technologies to examine the interplay between these vocabulary types in structured content environments. The discussion addresses challenges in vocabulary agreement, domain use case specification, and technical considerations for compliance with application profiles such as Dublin Core, DITA, DCAT, and iiRDS, with particular attention to how automation can optimize the linked data ecosystem.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2025-12-24</dc:date>
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      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
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