Search (8 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) 0.02
    0.021067886 = product of:
      0.031601828 = sum of:
        0.0056313644 = weight(_text_:a in 1967) [ClassicSimilarity], result of:
          0.0056313644 = score(doc=1967,freq=4.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.10809815 = fieldWeight in 1967, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1967)
        0.025970465 = product of:
          0.05194093 = sum of:
            0.05194093 = weight(_text_:22 in 1967) [ClassicSimilarity], result of:
              0.05194093 = score(doc=1967,freq=4.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.32829654 = fieldWeight in 1967, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1967)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    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.
    Type
    a
  2. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.02
    0.018259693 = product of:
      0.02738954 = sum of:
        0.005747488 = weight(_text_:a in 1962) [ClassicSimilarity], result of:
          0.005747488 = score(doc=1962,freq=6.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.11032722 = fieldWeight in 1962, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1962)
        0.021642052 = product of:
          0.043284103 = sum of:
            0.043284103 = weight(_text_:22 in 1962) [ClassicSimilarity], result of:
              0.043284103 = score(doc=1962,freq=4.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.27358043 = fieldWeight in 1962, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1962)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    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.
    Footnote
    Contribution in a special issue "Beyond libraries: Subject metadata in the digital environment and Semantic Web" - Enthält Beiträge der gleichnamigen IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn.
    Type
    a
  3. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modelling DDC with FRSAD (2011) 0.00
    0.0036685336 = product of:
      0.011005601 = sum of:
        0.011005601 = weight(_text_:a in 4828) [ClassicSimilarity], result of:
          0.011005601 = score(doc=4828,freq=22.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.21126054 = fieldWeight in 4828, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4828)
      0.33333334 = coord(1/3)
    
    Abstract
    The Functional Requirements for Subject Authority Data (FRSAD) conceptual model identifies entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as a subject of a work) and nomen (any sign or sequence of signs that a thema is known by, referred to, or addressed as). In a given controlled vocabulary and within a domain, a nomen is the appellation of only one thema. The authors consider the question, can the FRSAD conceptual model be extended beyond controlled vocabularies (its original focus) to model classification data? Models that are developed based on the structures and functions of controlled vocabularies (such as thesauri and subject heading systems) often need to be adjusted or extended to accommodate classification systems that have been developed with different focused functions, structures and fundamental theories. The Dewey Decimal Classification (DDC) system is used as a case study to test applicability of the FRSAD model for classification data, and as a springboard for a general discussion of issues related to the use of FRSAD for the representation of classification data.
    Source
    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
    Type
    a
  4. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modeling DDC with FRSAD (2011) 0.00
    0.0034978096 = product of:
      0.010493428 = sum of:
        0.010493428 = weight(_text_:a in 4092) [ClassicSimilarity], result of:
          0.010493428 = score(doc=4092,freq=20.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.20142901 = fieldWeight in 4092, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4092)
      0.33333334 = coord(1/3)
    
    Abstract
    The Functional Requirements for Subject Authority Data (FRSAD) conceptual model identifies entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as a subject of a work) and nomen (any sign or sequence of signs that a thema is known by, referred to, or addressed as). In a given controlled vocabulary and within a domain, a nomen is the appellation of only one thema. The authors consider the question, can the FRSAD conceptual model be extended beyond controlled vocabularies (its original focus) to model classification data? Models that are developed based on the structures and functions of controlled vocabularies (such as thesauri and subject heading systems) often need to be adjusted or extended to accommodate classification systems that have been developed with different focused functions, structures and fundamental theories. The Dewey Decimal Classification (DDC) system is used as a case study to test applicability of the FRSAD model for classification data, and as a springboard for a general discussion of issues related to the use of FRSAD for the representation of classification data.
    Type
    a
  5. Zumer, M.; Zeng, M.L.; Mitchell, J.S.: FRBRizing KOS relationships : applying the FRBR model to versions of the DDC (2012) 0.00
    0.00296799 = product of:
      0.00890397 = sum of:
        0.00890397 = weight(_text_:a in 846) [ClassicSimilarity], result of:
          0.00890397 = score(doc=846,freq=10.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.1709182 = fieldWeight in 846, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=846)
      0.33333334 = coord(1/3)
    
    Abstract
    The paper presents the approach of using the Functional Requirements for Bibliographic Records (FRBR) model to investigate the complicated sets of relationships among different versions of a classification system for the purposes of specifying provenance of classification data and facilitating collaborative efforts for using and reusing classification data, particularly in a linked data setting. The long-term goal of this research goes beyond the Dewey Decimal Classification that is used as a case. It addresses the questions of if and how the modelling approach and the FRBR-based model itself can be generalized and applied to other classification systems, multilingual and multicultural vocabularies, and even non-KOS resources that share similar characteristics.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
    Type
    a
  6. Beall, J.; Mitchell, J.S.: History of the representation of the DDC in the MARC Classification Format (2010) 0.00
    0.0027093915 = product of:
      0.008128175 = sum of:
        0.008128175 = weight(_text_:a in 3568) [ClassicSimilarity], result of:
          0.008128175 = score(doc=3568,freq=12.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15602624 = fieldWeight in 3568, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3568)
      0.33333334 = coord(1/3)
    
    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.
    Footnote
    Beitrag in einem special issue: Is there a catalog in your future? Celebrating Nancy J. Williamson: Scholar, educator, colleague, mentor
    Type
    a
  7. Mitchell, J.S.; Rype, I.; Svanberg, M.: Mixed translations of the DDC : design, usability, and implications for knowledge organization in multilingual environments (2011) 0.00
    0.0018771215 = product of:
      0.0056313644 = sum of:
        0.0056313644 = weight(_text_:a in 3034) [ClassicSimilarity], result of:
          0.0056313644 = score(doc=3034,freq=4.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.10809815 = fieldWeight in 3034, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=3034)
      0.33333334 = coord(1/3)
    
    Abstract
    This paper reports on an ongoing investigation of mixed translation models for the Dewey Decimal Classification (DDC) system to support classification and access. A mixed translation uses DDC classes in the vernacular to form the basic framework of the mixed edition; English-language records are ingested directly to complete hierarchies where needed. Separate indexes of available terminology in the vernacular and English are provided. Specific Norwegian and Swedish mixed models are described, along with testing results of the Norwegian model. General implications of mixed translation models for knowledge organization in multilingual environments are considered.
    Type
    a
  8. Mitchell, J.S.; Panzer, M.: Dewey linked data : Making connections with old friends and new acquaintances (2012) 0.00
    0.0011061045 = product of:
      0.0033183133 = sum of:
        0.0033183133 = weight(_text_:a in 305) [ClassicSimilarity], result of:
          0.0033183133 = score(doc=305,freq=2.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.06369744 = fieldWeight in 305, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=305)
      0.33333334 = coord(1/3)
    
    Abstract
    This paper explores the history, uses cases, and future plans associated with availability of the Dewey Decimal Classification (DDC) system as linked data. Parts of the Dewey Decimal Classification (DDC) system have been available as linked data since 2009. Initial efforts included the DDC Summaries (the top three levels of the DDC) in eleven languages exposed as linked data in dewey.info. In 2010, the content of dewey.info was further extended by the addition of assignable numbers and captions from the Abridged Edition 14 data files in English, Italian, and Vietnamese. During 2012, we will add assignable numbers and captions from the latest full edition database, DDC 23. In addition to the "old friends" of different Dewey language versions, institutions such as the British Library and Deutsche Nationalbibliothek have made use of Dewey linked data in bibliographic records and authority files, and AGROVOC has linked to our data at a general level. We expect to extend our linked data network shortly to "new acquaintances" such as GeoNames, ISO 639-3 language codes, and Mathematics Subject Classification. In particular, we will examine the linking process to GeoNames as an example of cross-domain vocabulary alignment. In addition to linking plans, we report on use cases that facilitate machine-assisted categorization and support discovery in the Semantic Web environment.