Search (4 results, page 1 of 1)

  • × author_ss:"Mitchell, J.S."
  • × year_i:[2010 TO 2020}
  1. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01
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    Abstract
    This paper 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 paper 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 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.
  2. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.01
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    Abstract
    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.
  3. Mitchell, J.S.; Rype, I.; Svanberg, M.: Mixed translations of the DDC : design, usability, and implications for knowledge organization in multilingual environments (2011) 0.01
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    Date
    25. 6.2015 19:44:21
    Source
    Subject access: preparing for the future. Conference on August 20 - 21, 2009 in Florence, the IFLA Classification and Indexing Section sponsored an IFLA satellite conference entitled "Looking at the Past and Preparing for the Future". Eds.: P. Landry et al
  4. Beall, J.; Mitchell, J.S.: History of the representation of the DDC in the MARC Classification Format (2010) 0.01
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    Abstract
    This article explores the history of the representation of the Dewey Decimal Classification (DDC) in the Machine Readable Cataloging (MARC) formats, with a special emphasis on the development of the MARC classification format. Until 2009, the format used to represent the DDC has been a proprietary one that predated the development of the MARC classification format. The need to replace the current editorial support system, the desire to deliver DDC data in a variety of formats to support different uses, and the increasingly global context of editorial work with translation partners around the world prompted the Dewey editorial team, along with OCLC research and development colleagues, to rethink the underlying representation of the DDC and choose the MARC 21 formats for classification and authority data. The discussion is framed with quotes from the writings of Nancy J. Williamson, whose analysis of the content of the Library of Congress Classification (LCC) schedules played a key role in shaping the original MARC classification format.