Modeling Classification Systems in Multicultural and Multilingual Contexts
Cataloging & Classification Quarterly
Chinese Library Classification (CLC), conceptual models, Dewey Decimal Classification (DDC), Functional Requirements for Subject Authority Data (FRSAD)
Library and Information Science
This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
Mitchell, Joan S.; Lei Zeng, Marcia; and Žumer, Maja (2014). Modeling Classification Systems in Multicultural and Multilingual Contexts. Cataloging & Classification Quarterly 52(1), 90-101. doi: 10.1080/01639374.2013.845620 Retrieved from https://digitalcommons.kent.edu/slispubs/37