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  • × author_ss:"Summerlin, J."
  1. Carlyle, A.; Ranger, S.; Summerlin, J.: Making the pieces fit : little women, works, and the pursuit of quality (2008) 0.00 
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    Abstract
    In current cataloging practice, the identification of an item as a member of a particular work set is accomplished by assigning a main entry heading, or main entry citation, in the bibliographic record representing that item. The main entry citation is normally comprised of a primary author name and the uniform title associated with the work. However, the quality of bibliographic records varies, and this means of identification is not universally used by catalogers. Thus, consistent identification and retrieval of records representing editions of works is not guaranteed. Research is reported that investigates the extent to which records that are members of a particular work set may be automatically identified as such.
    Type
    a
  2. Carlyle, A.; Summerlin, J.: Transforming catalog displays : records clustering for works of fiction (2000) 0.00 
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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
    Type
    a
  3. Carlyle, A.; Summerlin, J.: Transforming catalog displays : record clustering for works of fiction (2002) 0.00 
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