Search (9 results, page 1 of 1)

  • × theme_ss:"Datenformate"
  • × theme_ss:"Formalerschließung"
  • × year_i:[2010 TO 2020}
  1. Lee, S.; Jacob, E.K.: ¬An integrated approach to metadata interoperability : construction of a conceptual structure between MARC and FRBR (2011) 0.02
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    Abstract
    Machine-Readable Cataloging (MARC) is currently the most broadly used bibliographic standard for encoding and exchanging bibliographic data. However, MARC may not fully support representation of the dynamic nature and semantics of digital resources because of its rigid and single-layered linear structure. The Functional Requirements for Bibliographic Records (FRBR) model, which is designed to overcome the problems of MARC, does not provide sufficient data elements and adopts a predetermined hierarchy. A flexible structure for bibliographic data with detailed data elements is needed. Integrating MARC format with the hierarchical structure of FRBR is one approach to meet this need. The purpose of this research is to propose an approach that can facilitate interoperability between MARC and FRBR by providing a conceptual structure that can function as a mediator between MARC data elements and FRBR attributes.
    Date
    10. 9.2000 17:38:22
    Type
    a
  2. Stephens, O.: Introduction to OpenRefine (2014) 0.00
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    Abstract
    OpenRefine is described as a tool for working with 'messy' data - but what does this mean? It is probably easiest to describe the kinds of data OpenRefine is good at working with and the sorts of problems it can help you solve. OpenRefine is most useful where you have data in a simple tabular format but with internal inconsistencies either in data formats, or where data appears, or in terminology used. It can help you: Get an overview of a data set Resolve inconsistencies in a data set Help you split data up into more granular parts Match local data up to other data sets Enhance a data set with data from other sources Some common scenarios might be: 1. Where you want to know how many times a particular value appears in a column in your data. 2. Where you want to know how values are distributed across your whole data set. 3. Where you have a list of dates which are formatted in different ways, and want to change all the dates in the list to a single common date format.
  3. Miller, E.; Ogbuji, U.: Linked data design for the visible library (2015) 0.00
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    Abstract
    In response to libraries' frustration over their rich resources being invisible on the web, Zepheira, at the request of the Library of Congress, created BIBFRAME, a bibliographic metadata framework for cataloging. The model replaces MARC records with linked data, promoting resource visibility through a rich network of links. In place of formal taxonomies, a small but extensible vocabulary streamlines metadata efforts. Rather than using a unique bibliographic record to describe one item, BIBFRAME draws on the Dublin Core and the Functional Requirements for Bibliographic Records (FRBR) to generate formalized descriptions of Work, Instance, Authority and Annotation as well as associations between items. Zepheira trains librarians to transform MARC records to BIBFRAME resources and adapt the vocabulary for specialized needs, while subject matter experts and technical experts manage content, site design and usability. With a different approach toward data modeling and metadata, previously invisible resources gain visibility through linking.
    Footnote
    Contribution to a special section "Linked data and the charm of weak semantics".
    Type
    a
  4. Barckow, A.: Bücherhallen Hamburg stellten auf MARC21 um : ambitioniertes Projekt realisiert / Einführung von GND und RDA bereits in Arbeit (2012) 0.00
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    Type
    a
  5. Tosaka, Y.; Park, J.-r.: RDA: Resource description & access : a survey of the current state of the art (2013) 0.00
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    Abstract
    Resource Description & Access (RDA) is intended to provide a flexible and extensible framework that can accommodate all types of content and media within rapidly evolving digital environments while also maintaining compatibility with the Anglo-American Cataloguing Rules, 2nd edition (AACR2). The cataloging community is grappling with practical issues in navigating the transition from AACR2 to RDA; there is a definite need to evaluate major subject areas and broader themes in information organization under the new RDA paradigm. This article aims to accomplish this task through a thorough and critical review of the emerging RDA literature published from 2005 to 2011. The review mostly concerns key areas of difference between RDA and AACR2, the relationship of the new cataloging code to metadata standards, the impact on encoding standards such as Machine-Readable Cataloging (MARC), end user considerations, and practitioners' views on RDA implementation and training. Future research will require more in-depth studies of RDA's expected benefits and the manner in which the new cataloging code will improve resource retrieval and bibliographic control for users and catalogers alike over AACR2. The question as to how the cataloging community can best move forward to the post-AACR2/MARC environment must be addressed carefully so as to chart the future of bibliographic control in the evolving environment of information production, management, and use.
    Type
    a
  6. Xu, A.; Hess, K.; Akerman, L.: From MARC to BIBFRAME 2.0 : Crosswalks (2018) 0.00
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    Abstract
    One of the big challenges facing academic libraries today is to increase the relevance of the libraries to their user communities. If the libraries can increase the visibility of their resources on the open web, it will increase the chances of the libraries to reach to their user communities via the user's first search experience. BIBFRAME and library Linked Data will enable libraries to publish their resources in a way that the Web understands, consume Linked Data to enrich their resources relevant to the libraries' user communities, and visualize networks across collections. However, one of the important steps for transitioning to BIBFRAME and library Linked Data involves crosswalks, mapping MARC fields and subfields across data models and performing necessary data reformatting to be in compliance with the specifications of the new model, which is currently BIBFRAME 2.0. This article looks into how the Library of Congress has mapped library bibliographic data from the MARC format to the BIBFRAME 2.0 model and vocabulary published and updated since April 2016, available from http://www.loc.gov/bibframe/docs/index.html based on the recently released conversion specifications and converter, developed by the Library of Congress with input from many community members. The BIBFRAME 2.0 standard and conversion tools will enable libraries to transform bibliographic data from MARC into BIBFRAME 2.0, which introduces a Linked Data model as the improved method of bibliographic control for the future, and make bibliographic information more useful within and beyond library communities.
    Footnote
    Beitrag in einem Heft: 'Setting standards to work and live by: A memorial Festschrift for Valerie Bross'.
    Type
    a
  7. Meßmer, G.; Müller, M.: Standards in der Formalerschließung gedruckter und elektronischer Ressourcen (2015) 0.00
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    Type
    a
  8. Zapounidou, S.; Sfakakis, M.; Papatheodorou, C.: Library data integration : towards BIBFRAME mapping to EDM (2014) 0.00
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    Abstract
    Integration of library data into the Linked Data environment is a key issue in libraries and is approached on the basis of interoperability between library data conceptual models. Achieving interoperability for different representations of the same or related entities between the library and cultural heritage domains shall enhance rich bibliographic data reusability and support the development of new data-driven information services. This paper aims to contribute to the desired interoperability by attempting to map core semantic paths between the BIBFRAME and EDM conceptual models. BIBFRAME is developed by the Library of Congress to support transformation of legacy library data in MARC format into linked data. EDM is the model developed for and used in the Europeana Cultural Heritage aggregation portal.
    Type
    a
  9. Aalberg, T.; Zumer, M.: ¬The value of MARC data, or, challenges of frbrisation (2013) 0.00
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    Type
    a