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  • × author_ss:"Zeng, M.L."
  • × type_ss:"el"
  1. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.03 
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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.
    Type
    a
  2. Chan, L.M.; Zeng, M.L.: Metadata interoperability and standardization - a study of methodology, part I : achieving interoperability at the schema level (2006) 0.00 
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    Abstract
    The rapid growth of Internet resources and digital collections has been accompanied by a proliferation of metadata schemas, each of which has been designed based on the requirements of particular user communities, intended users, types of materials, subject domains, project needs, etc. Problems arise when building large digital libraries or repositories with metadata records that were prepared according to diverse schemas. This article (published in two parts) contains an analysis of the methods that have been used to achieve or improve interoperability among metadata schemas and applications, for the purposes of facilitating conversion and exchange of metadata and enabling cross-domain metadata harvesting and federated searches. From a methodological point of view, implementing interoperability may be considered at different levels of operation: schema level, record level, and repository level. Part I of the article intends to explain possible situations in which metadata schemas may be created or implemented, whether in individual projects or in integrated repositories. It also discusses approaches used at the schema level. Part II of the article will discuss metadata interoperability efforts at the record and repository levels.
    Type
    a
  3. Zeng, M.L.; Zumer, M.: Introducing FRSAD and mapping it with SKOS and other models (2009) 0.00 
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    Abstract
    The Functional Requirements for Subject Authority Records (FRSAR) Working Group was formed in 2005 as the third IFLA working group of the FRBR family to address subject authority data issues and to investigate the direct and indirect uses of subject authority data by a wide range of users. This paper introduces the Functional Requirements for Subject Authority Data (FRSAD), the model developed by the FRSAR Working Group, and discusses it in the context of other related conceptual models defined in the specifications during recent years, including the British Standard BS8723-5: Structured vocabularies for information retrieval - Guide Part 5: Exchange formats and protocols for interoperability, W3C's SKOS Simple Knowledge Organization System Reference, and OWL Web Ontology Language Reference. These models enable the consideration of the functions of subject authority data and concept schemes at a higher level that is independent of any implementation, system, or specific context, while allowing us to focus on the semantics, structures, and interoperability of subject authority data.
  4. Chan, L.M.; Zeng, M.L.: Metadata interoperability and standardization - a study of methodology, part II : achieving interoperability at the record and repository levels (2006) 0.00 
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    Abstract
    This is the second part of an analysis of the methods that have been used to achieve or improve interoperability among metadata schemas and their applications in order to facilitate the conversion and exchange of metadata and to enable cross-domain metadata harvesting and federated searches. From a methodological point of view, implementing interoperability may be considered at different levels of operation: schema level (discussed in Part I of the article), record level (discussed in Part II of the article), and repository level (also discussed in Part II). The results of efforts to improve interoperability may be observed from different perspectives as well, including element-based and value-based approaches. As discussed in Part I of this study, the results of efforts to improve interoperability can be observed at different levels: 1. Schema level - Efforts are focused on the elements of the schemas, being independent of any applications. The results usually appear as derived element sets or encoded schemas, crosswalks, application profiles, and element registries. 2. Record level - Efforts are intended to integrate the metadata records through the mapping of the elements according to the semantic meanings of these elements. Common results include converted records and new records resulting from combining values of existing records. 3. Repository level - With harvested or integrated records from varying sources, efforts at this level focus on mapping value strings associated with particular elements (e.g., terms associated with subject or format elements). The results enable cross-collection searching. In the following sections, we will continue to analyze interoperability efforts and methodologies, focusing on the record level and the repository level. It should be noted that the models to be discussed in this article are not always mutually exclusive. Sometimes, within a particular project, more than one method may be used.
    Type
    a

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