Search (6 results, page 1 of 1)

  • × theme_ss:"Verbale Doksprachen im Online-Retrieval"
  • × theme_ss:"Retrievalstudien"
  1. Voorbij, H.: ¬Een goede titel behoeft geen trefwoord, of toch wel? : een vergelijkend oderzoek titelwoorden - trefwoorden (1997) 0.01
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    Abstract
    A recent survey at the Royal Library in the Netherlands showed that subject headings are more efficient than title keywords for retrieval purposes. 475 Dutch publications were selected at random and assigned subject headings. The study showed that subject headings provided additional useful information in 56% of titles. Subsequent searching of the library's online catalogue showed that 88% of titles were retrieved via subject headings against 57% through title keywords. Further precision may be achieved with the help of indexing staff, but at considerable cost
    Footnote
    Übers. d. Titels: A good title has no need of subject headings, or does it?: a comparative study of title keywords against subject headings
  2. Drabenstott, K.M.; Vizine-Goetz, D.: Using subject headings for online retrieval : theory, practice and potential (1994) 0.00
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    Abstract
    Using subject headings for Online Retrieval is an indispensable tool for online system desingners who are developing new systems or refining exicting ones. The book describes subject analysis and subject searching in online catalogs, including the limitations of retrieval, and demonstrates how such limitations can be overcome through system design and programming. The book describes the Library of Congress Subject headings system and system characteristics, shows how information is stored in machine readable files, and offers examples of and recommendations for successful methods. Tables are included to support these recommendations, and diagrams, graphs, and bar charts are used to provide results of data analyses.
  3. Schabas, A.H.: ¬A comparative evaluation of the retrieval effectiveness of titles, Library of Congress Subject Headings and PRECIS strings for computer searching of UK MARC data (1979) 0.00
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  4. McJunkin, M.C.: Precision and recall in title keyword searching (1995) 0.00
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    Abstract
    Investigates the extent to which title keywords convey subject content and compares the relative effectiveness of searching title keywords using 2 search strategies to examine whether adjacency operators in title keyword searches are effective in improving recall and precision of online searching. Title keywords from a random sample of titles in the field of economics were searched on FirstSearch, using the WorldCat database, which is equivalent in coverage to the OCLC OLUC, with and without adjacency of the keywords specified. The LCSH of the items retrieved were compared with the sample title subject headings to determine the degree of match or relevance and the values for precision and recall were calculated. Results indicated that, when keywords were discipline specific, adjacency operators improved precision with little degradation of recall. Systems that allow positional operators or rank output by proximity of terms may increase search success
  5. Keen, E.M.: Aspects of computer-based indexing languages (1991) 0.00
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    Abstract
    Comments on the relative rarity of research articles on theoretical aspects of subject indexing in computerised retrieval systems and the predominance of articles on software packages and hardware. Concludes that controlled indexing still has a future but points to major differences from the past
  6. Bodoff, D.; Kambil, A.: Partial coordination : II. A preliminary evaluation and failure analysis (1998) 0.00
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    Abstract
    Partial coordination is a new method for cataloging documents for subject access. It is especially designed to enhance the precision of document searches in online environments. This article reports a preliminary evaluation of partial coordination that shows promising results compared with full-text retrieval. We also report the difficulties in empirically evaluating the effectiveness of automatic full-text retrieval in contrast to mixed methods such as partial coordination which combine human cataloging with computerized retrieval. Based on our study, we propose research in this area will substantially benefit from a common framework for failure analysis and a common data set. This will allow information retrieval researchers adapting 'library style'cataloging to large electronic document collections, as well as those developing automated or mixed methods, to directly compare their proposals for indexing and retrieval. This article concludes by suggesting guidelines for constructing such as testbed

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