Search (12 results, page 1 of 1)

  • × author_ss:"Zeng, M.L."
  • × year_i:[2010 TO 2020}
  1. Zumer, M.; Zeng, M.L.; Mitchell, J.S.: FRBRizing KOS relationships : applying the FRBR model to versions of the DDC (2012) 0.04 
    0.037407737 = product of:
  0.074815474 = sum of:
    0.0070626684 = product of:
      0.028250674 = sum of:
        0.028250674 = weight(_text_:based in 846) [ClassicSimilarity], result of:
          0.028250674 = score(doc=846,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.19973516 = fieldWeight in 846, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.046875 = fieldNorm(doc=846)
      0.25 = coord(1/4)
    0.06775281 = weight(_text_:term in 846) [ClassicSimilarity], result of:
      0.06775281 = score(doc=846,freq=2.0), product of:
        0.21904005 = queryWeight, product of:
          4.66603 = idf(docFreq=1130, maxDocs=44218)
          0.04694356 = queryNorm
        0.309317 = fieldWeight in 846, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.66603 = idf(docFreq=1130, maxDocs=44218)
          0.046875 = fieldNorm(doc=846)
  0.5 = coord(2/4)
    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.
  2. Golub, K.; Tudhope, D.; Zeng, M.L.; Zumer, M.: Terminology registries for knowledge organization systems : functionality, use, and attributes (2014) 0.02 
    0.015656754 = product of:
  0.03131351 = sum of:
    0.0122329 = product of:
      0.0489316 = sum of:
        0.0489316 = weight(_text_:based in 1347) [ClassicSimilarity], result of:
          0.0489316 = score(doc=1347,freq=6.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.34595144 = fieldWeight in 1347, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.046875 = fieldNorm(doc=1347)
      0.25 = coord(1/4)
    0.019080611 = product of:
      0.038161222 = sum of:
        0.038161222 = weight(_text_:22 in 1347) [ClassicSimilarity], result of:
          0.038161222 = score(doc=1347,freq=2.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = queryNorm
            0.23214069 = fieldWeight in 1347, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=1347)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    Terminology registries (TRs) are a crucial element of the infrastructure required for resource discovery services, digital libraries, Linked Data, and semantic interoperability generally. They can make the content of knowledge organization systems (KOS) available both for human and machine access. The paper describes the attributes and functionality for a TR, based on a review of published literature, existing TRs, and a survey of experts. A domain model based on user tasks is constructed and a set of core metadata elements for use in TRs is proposed. Ideally, the TR should allow searching as well as browsing for a KOS, matching a user's search while also providing information about existing terminology services, accessible to both humans and machines. The issues surrounding metadata for KOS are also discussed, together with the rationale for different aspects and the importance of a core set of KOS metadata for future machine-based access; a possible core set of metadata elements is proposed. This is dealt with in terms of practical experience and in relation to the Dublin Core Application Profile.
    Date
    22. 8.2014 17:12:54
  3. Salaba, A.; Zeng, M.L.: Extending the "Explore" user task beyond subject authority data into the linked data sphere (2014) 0.02 
    0.015250247 = product of:
  0.030500494 = sum of:
    0.00823978 = product of:
      0.03295912 = sum of:
        0.03295912 = weight(_text_:based in 1465) [ClassicSimilarity], result of:
          0.03295912 = score(doc=1465,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.23302436 = fieldWeight in 1465, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1465)
      0.25 = coord(1/4)
    0.022260714 = product of:
      0.04452143 = sum of:
        0.04452143 = weight(_text_:22 in 1465) [ClassicSimilarity], result of:
          0.04452143 = score(doc=1465,freq=2.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = queryNorm
            0.2708308 = fieldWeight in 1465, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1465)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    "Explore" is a user task introduced in the Functional Requirements for Subject Authority Data (FRSAD) final report. Through various case scenarios, the authors discuss how structured data, presented based on Linked Data principles and using knowledge organisation systems (KOS) as the backbone, extend the explore task within and beyond subject authority data.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  4. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01 
    0.0067460155 = product of:
  0.026984062 = sum of:
    0.026984062 = product of:
      0.053968124 = sum of:
        0.053968124 = weight(_text_:22 in 1967) [ClassicSimilarity], result of:
          0.053968124 = score(doc=1967,freq=4.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = 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)
  0.25 = coord(1/4)
    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.
  5. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.01 
    0.005621679 = product of:
  0.022486717 = sum of:
    0.022486717 = product of:
      0.044973433 = sum of:
        0.044973433 = weight(_text_:22 in 1962) [ClassicSimilarity], result of:
          0.044973433 = score(doc=1962,freq=4.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = 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)
  0.25 = coord(1/4)
    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.
  6. Zeng, M.L.; Gracy, K.F.; Zumer, M.: Using a semantic analysis tool to generate subject access points : a study using Panofsky's theory and two research samples (2014) 0.00 
    0.0047701527 = product of:
  0.019080611 = sum of:
    0.019080611 = product of:
      0.038161222 = sum of:
        0.038161222 = weight(_text_:22 in 1464) [ClassicSimilarity], result of:
          0.038161222 = score(doc=1464,freq=2.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = queryNorm
            0.23214069 = fieldWeight in 1464, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=1464)
      0.5 = coord(1/2)
  0.25 = coord(1/4)
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  7. Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014) 0.00 
    0.003975128 = product of:
  0.015900511 = sum of:
    0.015900511 = product of:
      0.031801023 = sum of:
        0.031801023 = weight(_text_:22 in 1778) [ClassicSimilarity], result of:
          0.031801023 = score(doc=1778,freq=2.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = queryNorm
            0.19345059 = fieldWeight in 1778, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1778)
      0.5 = coord(1/2)
  0.25 = coord(1/4)
    Date
    8. 4.2015 16:22:13
  8. Gracy, K.F.; Zeng, M.L.; Skirvin, L.: Exploring methods to improve access to Music resources by aligning library Data with Linked Data : a report of methodologies and preliminary findings (2013) 0.00 
    0.003180102 = product of:
  0.012720408 = sum of:
    0.012720408 = product of:
      0.025440816 = sum of:
        0.025440816 = weight(_text_:22 in 1096) [ClassicSimilarity], result of:
          0.025440816 = score(doc=1096,freq=2.0), product of:
            0.16438834 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04694356 = queryNorm
            0.15476047 = fieldWeight in 1096, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=1096)
      0.5 = coord(1/2)
  0.25 = coord(1/4)
    Date
    28.10.2013 17:22:17
  9. Chen, S.-j.; Zeng, M.L.; Chen, H.-h.: Alignment of conceptual structures in controlled vocabularies in the domain of Chinese art : a discussion of issues and patterns (2012) 0.00 
    0.0017656671 = product of:
  0.0070626684 = sum of:
    0.0070626684 = product of:
      0.028250674 = sum of:
        0.028250674 = weight(_text_:based in 857) [ClassicSimilarity], result of:
          0.028250674 = score(doc=857,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.19973516 = fieldWeight in 857, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.046875 = fieldNorm(doc=857)
      0.25 = coord(1/4)
  0.25 = coord(1/4)
    Abstract
    Based on our recent sub-project of the Chinese AAT-Taiwan Project, this paper reports issues regarding the alignment of the controlled vocabularies in the domain of Chinese art. The conceptual structures of the concepts for Chinese art in the National Palace Museum (NPM) Vocabularies and the Art & Architecture Thesaurus (AAT) are studied and patterns were identified in the effort of achieving semantic interoperability. The findings presented in the paper are meaningful to the research on the semantic interoperability of multilingual KOS, especially when dealing with cultural-related concepts that cannot be exactly aligned in vocabularies due to the discrepancies in the conceptual structures.
  10. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modeling DDC with FRSAD (2011) 0.00 
    0.0014713892 = product of:
  0.005885557 = sum of:
    0.005885557 = product of:
      0.023542227 = sum of:
        0.023542227 = weight(_text_:based in 4092) [ClassicSimilarity], result of:
          0.023542227 = score(doc=4092,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.16644597 = fieldWeight in 4092, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4092)
      0.25 = coord(1/4)
  0.25 = coord(1/4)
    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.
  11. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Extending models for controlled vocabularies to classification systems : modelling DDC with FRSAD (2011) 0.00 
    0.0014713892 = product of:
  0.005885557 = sum of:
    0.005885557 = product of:
      0.023542227 = sum of:
        0.023542227 = weight(_text_:based in 4828) [ClassicSimilarity], result of:
          0.023542227 = score(doc=4828,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.16644597 = fieldWeight in 4828, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4828)
      0.25 = coord(1/4)
  0.25 = coord(1/4)
    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.
  12. Zumer, M.; Zeng, M.L.: Application of FRBR and FRSAD to classification systems (2015) 0.00 
    0.0014713892 = product of:
  0.005885557 = sum of:
    0.005885557 = product of:
      0.023542227 = sum of:
        0.023542227 = weight(_text_:based in 2284) [ClassicSimilarity], result of:
          0.023542227 = score(doc=2284,freq=2.0), product of:
            0.14144066 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.04694356 = queryNorm
            0.16644597 = fieldWeight in 2284, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2284)
      0.25 = coord(1/4)
  0.25 = coord(1/4)
    Abstract
    The Functional Requirements for Subject Authority Data (FRSAD) conceptual model defines entities, attributes and relationships as they relate to subject authority data. FRSAD includes two main entities, thema (any entity used as the subject of a work) and nomen (any sign or arrangement 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 and Universal Decimal Classification (UDC) are used as a case study to test applicability of the FRSAD model for classification data and the applicability of the Functional Requirements for Bibliographic Records (FRBR) for modelling versions, such as different adaptations and different language editions.

Authors

Types

Themes