Search (7 results, page 1 of 1)

  • × theme_ss:"Volltextretrieval"
  1. Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998) 0.02
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    Abstract
    The effectiveness ot two information retrieval tools, namely, thesaurus and natural language, in an information retrieval system has been studies. A database SOILSC was created using a HP3000/58 series minicomputer and MINISIS software. Records of articles totalling 17.918 published in various journals, received in the Central Water and Power Research Station (CWPRS) library (Pune, India) since 1988, have been stored. The information needs of a soil mechanics group have been formulated using thesaurus and natural language into 81 search strategies. In consultation with the user, relevance of the retrieved documents was assessed and, recall (R) and precision (P) values were calculated. Since both thesaurus and natural language have shown identical performance in information retrieval, a combination of these two have been suggested for making searches and providing relevant information
  2. McKinin, E.J.; Sievert, M.E.; Johnson, D.; Mitchell, J.A.: ¬The Medline/full-text research project (1991) 0.02
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    Abstract
    This project was designed to test the relative efficacy of index terms and full-text for the retrieval of documents in those MEDLINE journals for which full-text searching was also available. The full-text files used were MEDIS from Mead Data Central and CCML from BRS Information Technologies. One hundred clinical medical topics were searches in these two files as well as the MEDLINE file to accumulate the necessary data. It was found that full-text identified significantly more relevant articles than did the indexed file. Most relevant items missed in the full-text files, but identified in MEDLINE, were missed because the searcher failed to account for some aspect of natural language, used a logical or positional operator that was too restrictive, or included a concept which was implied, but not expressed in the natural language. Very few of the unique relevant full-text citations would have been retrievaed by title or abstract alone. Finally, as of July, 1990 the more current issue of a journal was just as likely to appear in MEDLINE as in one of the full-text files.
  3. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.01
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    Date
    23. 1.1999 19:22:09
  4. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.01
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    Date
    22. 7.2000 17:48:06
  5. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.01
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    Date
    14. 6.2001 12:22:31
  6. Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002) 0.01
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    Source
    c't. 2002, H.22, S.190-197
  7. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01
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    Date
    9. 1.1996 10:22:31