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  • × theme_ss:"Metadaten"
  1. Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014) 0.03
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    Date
    10. 9.2000 17:38:22
  2. Wusteman, J.: Whither HTML? (2004) 0.03
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    Source
    Library hi tech. 22(2004) no.1, S.99-105
  3. 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) 0.02
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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)
    Editor
    Greenberg, J. u. W. Klas
  4. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.02
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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.
  5. Hakala, J.: Dublin core in 1997 : a report from Dublin Core metadata workshops 4 & 5 (1998) 0.02
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    Source
    Nordinfo Nytt. 1997, nos.3/4, S.10-22
  6. White, H.C.; Carrier, S.; Thompson, A.; Greenberg, J.; Scherle, R.: ¬The Dryad Data Repository : a Singapore framework metadata architecture in a DSpace environment (2008) 0.02
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    Source
    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
  7. Lin, X.; Li, J.; Zhou, X.: Theme creation for digital collections (2008) 0.02
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    Source
    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
  8. Zhang, J.; Jastram, I.: ¬A study of the metadata creation behavior of different user groups on the Internet (2006) 0.02
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    Abstract
    Metadata is designed to improve information organization and information retrieval effectiveness and efficiency on the Internet. The way web publishers respond to metadata and the way they use it when publishing their web pages, however, is still a mystery. The authors of this paper aim to solve this mystery by defining different professional publisher groups, examining the behaviors of these user groups, and identifying the characteristics of their metadata use. This study will enhance the current understanding of metadata application behavior and provide evidence useful to researchers, web publishers, and search engine designers.
  9. Golub, K.; Moon, J.; Nielsen, M.L.; Tudhope, D.: EnTag: Enhanced Tagging for Discovery (2008) 0.02
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    Abstract
    Purpose: Investigate the combination of controlled and folksonomy approaches to support resource discovery in repositories and digital collections. Aim: Investigate whether use of an established controlled vocabulary can help improve social tagging for better resource discovery. Objectives: (1) Investigate indexing aspects when using only social tagging versus when using social tagging with suggestions from a controlled vocabulary; (2) Investigate above in two different contexts: tagging by readers and tagging by authors; (3) Investigate influence of only social tagging versus social tagging with a controlled vocabulary on retrieval. - Vgl.: http://www.ukoln.ac.uk/projects/enhanced-tagging/.
  10. Kleeck, D. Van; Langford, G.; Lundgren, J.; Nakano, H.; O'Dell, A.J.; Shelton, T.: Managing bibliographic data quality in a consortial academic library : a case study (2016) 0.02
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    Abstract
    This article presents a case study of quality management for print and electronic resource metadata, summarizing problems and solutions encountered by the Cataloging and Discovery Services Department in the George A. Smathers Libraries at the University of Florida. The authors discuss national, state, and local standards for cataloging, automated and manual record enhancements for data, user feedback, and statewide consortial factors. Findings show that adherence to standards, proactive cleanup of data via manual processes and automated tools, collaboration with vendors and stakeholders, and continual assessment of workflows are key to the management of biblio-graphic data quality in consortial academic libraries.
  11. Kleeck, D. Van; Nakano, H.; Langford, G.; Shelton, T.; Lundgren, J.; O'Dell, A.J.: Managing bibliographic data quality for electronic resources (2017) 0.02
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    Abstract
    This article presents a case study of quality management issues for electronic resource metadata to assess the support of user tasks (find, select, and obtain library resources) and potential for increased efficiencies in acquisitions and cataloging workflows. The authors evaluated the quality of existing bibliographic records (mostly vendor supplied) for e-resource collections as compared with records for the same collections in OCLC's WorldShare Collection Manager (WCM). Findings are that WCM records better support user tasks by containing more summaries and tables of contents; other checkpoints are largely comparable between the two source record groups. The transition to WCM records is discussed.
  12. Krause, J.; Schwänzl, R.: Inhaltserschließung : Formale Beschreibung, Identifikation und Retrieval, MetaDaten, Vernetzung (1998) 0.02
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  13. Hakala, J.: Internet metadata and library cataloguing (1999) 0.02
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  14. Hunter, J.; Armstrong, L.: ¬A comparison of schemas for video metadata representations (1999) 0.02
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  15. Thornely, J.: ¬The how of metadata : metadata creation and standards (1999) 0.02
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  16. Ward, J.: Unqualified Dublin Core usage in OAI-PMH data providers (2004) 0.02
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  17. Zhang, J.; Dimitroff, A.: Internet search engines' response to Metadata Dublin Core implementation (2005) 0.02
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  18. Bogaard, T.; Hollink, L.; Wielemaker, J.; Ossenbruggen, J. van; Hardman, L.: Metadata categorization for identifying search patterns in a digital library (2019) 0.02
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    Abstract
    Purpose For digital libraries, it is useful to understand how users search in a collection. Investigating search patterns can help them to improve the user interface, collection management and search algorithms. However, search patterns may vary widely in different parts of a collection. The purpose of this paper is to demonstrate how to identify these search patterns within a well-curated historical newspaper collection using the existing metadata. Design/methodology/approach The authors analyzed search logs combined with metadata records describing the content of the collection, using this metadata to create subsets in the logs corresponding to different parts of the collection. Findings The study shows that faceted search is more prevalent than non-faceted search in terms of number of unique queries, time spent, clicks and downloads. Distinct search patterns are observed in different parts of the collection, corresponding to historical periods, geographical regions or subject matter. Originality/value First, this study provides deeper insights into search behavior at a fine granularity in a historical newspaper collection, by the inclusion of the metadata in the analysis. Second, it demonstrates how to use metadata categorization as a way to analyze distinct search patterns in a collection.
  19. Weber, J.: Nachlässe und Autographen im WWW : Dublin Core in Museen, Archiven und Bibliotheken (2000) 0.02
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    Date
    12. 3.2000 19:25:22
  20. Zavalina, O.; Palmer, C.L.; Jackson, A.S.; Han, M.-J.: Assessing descriptive substance in free-text collection-level metadata (2008) 0.02
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    Source
    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

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