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  • × theme_ss:"Metadaten"
  1. Kurth, M.; Ruddy, D.; Rupp, N.: Repurposing MARC metadata : using digital project experience to develop a metadata management design (2004) 0.08 
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    Abstract
    Metadata and information technology staff in libraries that are building digital collections typically extract and manipulate MARC metadata sets to provide access to digital content via non-MARC schemes. Metadata processing in these libraries involves defining the relationships between metadata schemes, moving metadata between schemes, and coordinating the intellectual activity and physical resources required to create and manipulate metadata. Actively managing the non-MARC metadata resources used to build digital collections is something most of these libraries have only begun to do. This article proposes strategies for managing MARC metadata repurposing efforts as the first step in a coordinated approach to library metadata management. Guided by lessons learned from Cornell University library mapping and transformation activities, the authors apply the literature of data resource management to library metadata management and propose a model for managing MARC metadata repurposing processes through the implementation of a metadata management design.
    Source
    Library hi tech. 22(2004) no.2, S.144-152
  2. Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany (2008) 0.06 
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    Abstract
    Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web - the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways ("participatory metadata") is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
    Content
    Carol Jean Godby, Devon Smith, Eric Childress: Encoding Application Profiles in a Computational Model of the Crosswalk. - Maria Elisabete Catarino, Ana Alice Baptista: Relating Folksonomies with Dublin Core. - Ed Summers, Antoine Isaac, Clay Redding, Dan Krech: LCSH, SKOS and Linked Data. - Xia Lin, Jiexun Li, Xiaohua Zhou: Theme Creation for Digital Collections. - Boris Lauser, Gudrun Johannsen, Caterina Caracciolo, Willem Robert van Hage, Johannes Keizer, Philipp Mayr: Comparing Human and Automatic Thesaurus Mapping Approaches in the Agricultural Domain. - P. Bryan Heidorn, Qin Wei: Automatic Metadata Extraction From Museum Specimen Labels. - Stuart Allen Sutton, Diny Golder: Achievement Standards Network (ASN): An Application Profile for Mapping K-12 Educational Resources to Achievement Standards. - Allen H. Renear, Karen M. Wickett, Richard J. Urban, David Dubin, Sarah L. Shreeves: Collection/Item Metadata Relationships. - Seth van Hooland, Yves Bontemps, Seth Kaufman: Answering the Call for more Accountability: Applying Data Profiling to Museum Metadata. - Thomas Margaritopoulos, Merkourios Margaritopoulos, Ioannis Mavridis, Athanasios Manitsaris: A Conceptual Framework for Metadata Quality Assessment. - Miao Chen, Xiaozhong Liu, Jian Qin: Semantic Relation Extraction from Socially-Generated Tags: A Methodology for Metadata Generation. - Hak Lae Kim, Simon Scerri, John G. Breslin, Stefan Decker, Hong Gee Kim: The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies. - Martin Malmsten: Making a Library Catalogue Part of the Semantic Web. - Philipp Mayr, Vivien Petras: Building a Terminology Network for Search: The KoMoHe Project. - Michael Panzer: Cool URIs for the DDC: Towards Web-scale Accessibility of a Large Classification System. - Barbara Levergood, Stefan Farrenkopf, Elisabeth Frasnelli: The Specification of the Language of the Field and Interoperability: Cross-language Access to Catalogues and Online Libraries (CACAO)
    Footnote
    Vgl.: http://dcpapers.dublincore.org/index.php/pubs/issue/view/32/showToc. - Vgl. auch den Bericht über die Tagung in: ZfBB 26(2009) H.1, S.35-37 (C. Frodl u. M. Keßler)
    Type
    m
  3. Mora-Mcginity, M. et al.: MusicWeb: music discovery with open linked semantic metadata (2016) 0.05 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  4. Proffitt, M.: Pulling it all together : use of METS in RLG cultural materials service (2004) 0.04 
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    Source
    Library hi tech. 22(2004) no.1, S.65-68
  5. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.04 
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    Date
    22. 6.2002 19:39:23
  6. Gorman, M.: Metadata or cataloguing? : a false choice (1999) 0.04 
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    Source
    Journal of Internet cataloging. 2(1999) no.1, S.5-22
  7. El-Sherbini, M.: Metadata and the future of cataloging (2001) 0.04 
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    Date
    23. 1.2007 11:22:30
  8. Marchiori, M.: ¬The limits of Web metadata, and beyond (1998) 0.04 
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    Date
    1. 8.1996 22:08:06
  9. Lubas, R.L.; Wolfe, R.H.W.; Fleischman, M.: Creating metadata practices for MIT's OpenCourseWare Project (2004) 0.04 
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    Source
    Library hi tech. 22(2004) no.2, S.138-143
  10. Carvalho, J.R. de; Cordeiro, M.I.; Lopes, A.; Vieira, M.: Meta-information about MARC : an XML framework for validation, explanation and help systems (2004) 0.04 
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    Source
    Library hi tech. 22(2004) no.2, S.131-137
  11. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.04 
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  12. Pfister, E.; Wittwer, B.; Wolff, M.: Metadaten - Manuelle Datenpflege vs. Automatisieren : ein Praxisbericht zu Metadatenmanagement an der ETH-Bibliothek (2017) 0.04 
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    B.I.T.online. 20(2017) H.1, S.22-25
  13. Keßler, M.: KIM - Kompetenzzentrum Interoperable Metadaten : Gemeinsamer Workshop der Deutschen Nationalbibliothek und des Arbeitskreises Elektronisches Publizieren (AKEP) (2007) 0.03 
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    Source
    Dialog mit Bibliotheken. 20(2008) H.1, S.22-24
  14. Margaritopoulos, T.; Margaritopoulos, M.; Mavridis, I.; Manitsaris, A.: ¬A conceptual framework for metadata quality assessment (2008) 0.03 
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    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  15. Zavalina, O.; Palmer, C.L.; Jackson, A.S.; Han, M.-J.: Assessing descriptive substance in free-text collection-level metadata (2008) 0.03 
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    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  16. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.03 
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    Abstract
    The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.
  17. Jimenez, V.O.R.: Nuevas perspectivas para la catalogacion : metadatos ver MARC (1999) 0.03 
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    Date
    30. 3.2002 19:45:22
    Source
    Revista Española de Documentaçion Cientifica. 22(1999) no.2, S.198-219
  18. Andresen, L.: Metadata in Denmark (2000) 0.03 
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    16. 7.2000 20:58:22
  19. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.03 
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    Library hi tech. 22(2004) no.1
  20. Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023) 0.03 
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    Abstract
    In the last few years, the size of Linked Open Data (LOD) describing artworks, in general or domain-specific Knowledge Graphs (KGs), is gradually increasing. This provides (art-)historians and Cultural Heritage professionals with a wealth of information to explore. Specifically, structured data about iconographical and iconological (icon) aspects, i.e. information about the subjects, concepts and meanings of artworks, are extremely valuable for the state-of-the-art of computational tools, e.g. content recognition through computer vision. Nevertheless, a data quality evaluation for art domains, fundamental for data reuse, is still missing. The purpose of this study is filling this gap with an overview of art-historical data quality in current KGs with a focus on the icon aspects. Design/methodology/approach This study's analyses are based on established KG evaluation methodologies, adapted to the domain by addressing requirements from art historians' theories. The authors first select several KGs according to Semantic Web principles. Then, the authors evaluate (1) their structures' suitability to describe icon information through quantitative and qualitative assessment and (2) their content, qualitatively assessed in terms of correctness and completeness. Findings This study's results reveal several issues on the current expression of icon information in KGs. The content evaluation shows that these domain-specific statements are generally correct but often not complete. The incompleteness is confirmed by the structure evaluation, which highlights the unsuitability of the KG schemas to describe icon information with the required granularity. Originality/value The main contribution of this work is an overview of the actual landscape of the icon information expressed in LOD. Therefore, it is valuable to cultural institutions by providing them a first domain-specific data quality evaluation. Since this study's results suggest that the selected domain information is underrepresented in Semantic Web datasets, the authors highlight the need for the creation and fostering of such information to provide a more thorough art-historical dimension to LOD.

Authors

Years

Languages

  • e 183
  • d 28
  • nl 1
  • sp 1
  • More… Less…

Types

  • a 176
  • el 35
  • m 25
  • s 15
  • b 2
  • p 1
  • r 1
  • More… Less…

Themes

Subjects

Classifications