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      <dc:title>Beyond Mapping: A Semantic Transformation Approach from KORMARC and MODS to BIBFRAME</dc:title>
      <dc:creator>Lee, Seungmin</dc:creator>
      <dc:description>MARC-and MODS-based bibliographic data, due to their record-based structure, have limitations in supporting entity identification and semantic relationships in linked data environments. Existing approaches to converting these formats into BIBFRAME primarily rely on field-level mappings, which fail to capture bibliographic meaning and relationships adequately. To address this issue, this study proposes a semantic-based transformation framework that reinterprets bibliographic data at the level of semantic units. The framework includes a normalization model and a transformation module consisting of semantic analysis, entity extraction, relationship generation, and RDF transformation. This approach enables the reconstruction of bibliographic data into an entity–relationship structure, facilitating their conversion into BIBFRAME while preserving semantic integrity and enhancing interoperability and reusability.</dc:description>
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      <dc:date>2026-09-10</dc:date>
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