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Abstract

Semantic interoperability between Resource Description and Access (RDA) and BIBFRAME models is of great interest to the library community. In this context, this work investigates the mapping of core entities, inherent and derivative relationships from RDA to BIBFRAME, and proposes mapping rules assessed using two gold datasets. Findings indicate that RDA core entities and inherent relationships can be successfully mapped to BIBFRAME using the bf:hasExpression property, while extending bf:hasExpression as transitive simplifies BIBFRAME representations. Moreover, mapping derivative relationships between RDA Expressions was successful with loss of specificity in non-translation cases. The mapping of derivative relationships between RDA Works produced "noisy" bf:hasDerivative occurrences in BIBFRAME.

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Abstract

Integration of library data into the Linked Data environment is a key issue in libraries and is approached on the basis of interoperability between library data conceptual models. Achieving interoperability for different representations of the same or related entities between the library and cultural heritage domains shall enhance rich bibliographic data reusability and support the development of new data-driven information services. This paper aims to contribute to the desired interoperability by attempting to map core semantic paths between the BIBFRAME and EDM conceptual models. BIBFRAME is developed by the Library of Congress to support transformation of legacy library data in MARC format into linked data. EDM is the model developed for and used in the Europeana Cultural Heritage aggregation portal.

Series

Communications in computer and information science; 478

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Abstract

The mapping from BIBFRAME 2.0 to Resource Description and Access (RDA) is studied focusing on core entities, inherent relationships, and derivative relationships. The proposed mapping rules are evaluated with two gold datasets. Findings indicate that 1) core entities, inherent and derivative relationships may be mapped to RDA, 2) the use of the bf:hasExpression property may cluster bf:Works with the same ideational content and enable their mapping to RDA Works with their Expressions, and 3) cataloging policies have a significant impact on the interoperability between RDA and BIBFRAME datasets. This work complements the investigation of semantic interoperability between the two models previously presented in this journal.