Search (108 results, page 1 of 6)

  • × theme_ss:"Metadaten"
  1. Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018) 0.09
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    Abstract
    The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
  2. 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) 0.04
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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.
  3. Bartczak, J.; Glendon, I.: Python, Google Sheets, and the Thesaurus for Graphic Materials for efficient metadata project workflows (2017) 0.03
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  4. Belém, F.M.; Almeida, J.M.; Gonçalves, M.A.: ¬A survey on tag recommendation methods : a review (2017) 0.03
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    Abstract
    Tags (keywords freely assigned by users to describe web content) have become highly popular on Web 2.0 applications, because of the strong stimuli and easiness for users to create and describe their own content. This increase in tag popularity has led to a vast literature on tag recommendation methods. These methods aim at assisting users in the tagging process, possibly increasing the quality of the generated tags and, consequently, improving the quality of the information retrieval (IR) services that rely on tags as data sources. Regardless of the numerous and diversified previous studies on tag recommendation, to our knowledge, no previous work has summarized and organized them into a single survey article. In this article, we propose a taxonomy for tag recommendation methods, classifying them according to the target of the recommendations, their objectives, exploited data sources, and underlying techniques. Moreover, we provide a critical overview of these methods, pointing out their advantages and disadvantages. Finally, we describe the main open challenges related to the field, such as tag ambiguity, cold start, and evaluation issues.
    Date
    16.11.2017 13:30:22
  5. Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014) 0.02
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    Abstract
    Catalogers have become fluent in information technology such as web design skills, HyperText Markup Language (HTML), Cascading Stylesheets (CSS), eXensible Markup Language (XML), and programming languages. The knowledge gained from learning information technology can be used to experiment with methods of transforming one metadata schema into another using various software solutions. This paper will discuss the use of eXtensible Stylesheet Language Transformations (XSLT) for repurposing, editing, and reformatting metadata. Catalogers have the requisite skills for working with any metadata schema, and if they are excluded from metadata work, libraries are wasting a valuable human resource.
    Date
    10. 9.2000 17:38:22
  6. Banush, D.; Kurth, M:; Pajerek, J.: Rehabilitating killer serials : an automated strategy for maintaining E-journal metadata (2005) 0.02
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    Abstract
    Cornell University Library (CUL) has developed a largely automated method for providing title-level catalog access to electronic journals made available through aggregator packages. CUL's technique for automated e-journal record creation and maintenance relies largely on the conversion of externally supplied metadata into streamlined, abbreviated-level MARC records. Unlike the Cooperative Online Serials Cataloging Program's recently implemented aggregator-neutral approach to e-journal cataloging, CUL's method involves the creation of a separate bibliographic record for each version of an e-journal title in order to facilitate automated record maintenance. An indexed local field indicates the aggregation to which each title belongs and enables machine manipulation of all the records associated with a specific aggregation. Information encoded in another locally defined field facilitates the identification of all of the library's e-journal titles and allows for the automatic generation of a Web-based title list of e-journals. CUL's approach to providing title-level catalog access to its e-journal aggregations involves a number of tradeoffs in which some elements of traditional bibliographic description (such as subject headings and linking fields) are sacrificed in the interest of timeliness and affordability. URLs (Uniform Resource Locators) and holdings information are updated on a regular basis by use of automated methods that save on staff costs.
    Date
    10. 9.2000 17:38:22
  7. Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018) 0.02
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    Abstract
    In 2016, the University of Waterloo began offering a mediated copyright review and deposit service to support the growth of our institutional repository UWSpace. This resulted in the need to batch import large lists of published works into the institutional repository quickly and accurately. A range of methods have been proposed for harvesting publications metadata en masse, but many technological solutions can easily become detached from a workflow that is both reproducible for support staff and applicable to a range of situations. Many repositories offer the capacity for batch upload via CSV, so our method provides a template Python script that leverages the Habanero library for populating CSV files with existing metadata retrieved from the CrossRef API. In our case, we have combined this with useful metadata contained in a TSV file downloaded from Web of Science in order to enrich our metadata as well. The appeal of this 'low-maintenance' method is that it provides more robust options for gathering metadata semi-automatically, and only requires the user's ability to access Web of Science and the Python program, while still remaining flexible enough for local customizations.
    Date
    10.11.2018 16:27:22
  8. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.01
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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.
  9. Jimenez, V.O.R.: Nuevas perspectivas para la catalogacion : metadatos ver MARC (1999) 0.01
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    Date
    30. 3.2002 19:45:22
    Source
    Revista Española de Documentaçion Cientifica. 22(1999) no.2, S.198-219
  10. Andresen, L.: Metadata in Denmark (2000) 0.01
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    Date
    16. 7.2000 20:58:22
  11. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.01
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    Source
    Library hi tech. 22(2004) no.1
  12. Moen, W.E.: ¬The metadata approach to accessing government information (2001) 0.01
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    Date
    28. 3.2002 9:22:34
  13. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.01
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    Source
    Library hi tech. 22(2004) no.1
  14. MARC and metadata : METS, MODS, and MARCXML: current and future implications part 2 (2004) 0.01
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    Source
    Library hi tech. 22(2004) no.2
  15. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.01
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    Date
    22. 9.2007 15:41:14
  16. Caplan, P.; Guenther, R.: Metadata for Internet resources : the Dublin Core Metadata Elements Set and its mapping to USMARC (1996) 0.01
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    Date
    13. 1.2007 18:31:22
    Source
    Cataloging and classification quarterly. 22(1996) nos.3/4, S.43-58
  17. Tennant, R.: ¬A bibliographic metadata infrastructure for the twenty-first century (2004) 0.01
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    Date
    9.12.2005 19:22:38
    Source
    Library hi tech. 22(2004) no.2, S.175-181
  18. Hunter, J.L.: ¬A survey of metadata research for organizing the Web (2004) 0.01
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    Abstract
    This article attempts to provide an overview of the key metadata research issues and the current projects and initiatives that are investigating methods and developing technologies aimed at improving our ability to discover, access, retrieve, and assimilate information on the Internet through the use of metadata.
  19. Hoffmann, L.: Metadaten von Internetressourcen und ihre Integrierung in Bibliothekskataloge (1998) 0.01
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    Date
    22. 5.1998 18:45:36
  20. Essen, F. von: Metadaten - neue Perspektiven für die Erschließung von Netzpublikationen in Bibliotheken : Erster META-LIB-Workshop in Göttingen (1998) 0.01
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    Content
    Bericht über den Workshop, der am 22. u. 23.6.98 in der SUB Göttingen stattfand

Years

Languages

  • e 97
  • d 9
  • sp 1
  • More… Less…

Types

  • a 99
  • el 13
  • s 5
  • m 4
  • b 2
  • More… Less…