Search (3 results, page 1 of 1)

  • × theme_ss:"Schöne Literatur"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Ercegovac, Z.: Multiple-version resources in digital libraries : towards user-centered displays (2006) 0.02 
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    Abstract
    The author reports findings from experiments with the International Federation of Library Associations and Institutions' (IFLA) Functional Requirements for Bibliographic Records (FRBR) as applied to the domain of science fiction, Edwin A. Abbott's Flatland: A Romance of Many Dimensions in the Online Computer Library Center's (OCLC) WorldCat. The goal of the study is to gauge the characteristics of bibliographic entities under study, to examine types of relationships these entities exhibit, and to collocate bibliographic entities according to the FRBR group 1 hierarchy of entities identified as works, expressions, manifestations, and items. The study's findings show that by assembling bibliographic records into interrelated clusters and displaying these according to the FRBR entity-relationship model, a new navigational capability in networked digital libraries can be developed.
  2. Carlyle, A.; Summerlin, J.: Transforming catalog displays : record clustering for works of fiction (2002) 0.02 
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    Abstract
    Displays grouping retrieved bibliographic record sets into categories or clusters may communicate search results more quickly and effectively to users than current catalog displays providing long alphabetical lists of records. Bibliographic records associated with three large fiction works are analyzed to discover the presence of relationship-type indicators. Preliminary results show that 94% of the records in this study contained indicators of cluster type that would allow them to be correctly identified automatically. However, the clusters formed by the relationship types used here are of unequal size. Because of this, it is suggested that alternative strategies be investigated for their potential to create more useful clustered displays.
  3. Carlyle, A.; Summerlin, J.: Transforming catalog displays : records clustering for works of fiction (2000) 0.02 
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    Abstract
    Displays grouping retrieved bibliographic record sets into categories or clusters may communicate search results more quickly and effectively to users than current catalogs providing long alphabetical lists of records. In this research, automatic clustering based on types of relationships, including translation, presence of illustrations, etc., is proposed as a model for clustering. Bibliographic records associated with three large fiction works (Kidnapped by Robert Lewis Stevenson, Bleak House by Charles Dickens, and Three Musketeers by Alexandre Dumas) are analyzed to discover the presence of relationship-type indicators to determine the extent to which an automatic clustering program would succeed in clustering work records. Preliminary results show that 94 percent of the records in this study contained indicators of cluster type that would allow them to be correctly identified automatically

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