Search (19 results, page 1 of 1)

  • × theme_ss:"Volltextretrieval"
  1. Ojala, M.: Research into full-text retrieval (1990) 0.01
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    Source
    Database. 13(1990) August, S.78-80
    Year
    1990
  2. Kristensen, J.; Järvelin, K.: ¬The effectiveness of a searching thesaurus in free-text searching in a full-text database (1990) 0.01
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    Source
    International classification. 17(1990), S.77-84
    Year
    1990
  3. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.00
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    Year
    1990
  4. Yetim, F.: ¬Ein intertextuelles Hypertextmodell als Weiterentwicklung eines Volltextanalysesystems (1990) 0.00
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    Year
    1990
  5. Blair, D.C.; Maron, M.E.: Full-text information retrieval : further analysis and clarification (1990) 0.00
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    Source
    Information processing and management. 26(1990), S.437-447
    Year
    1990
  6. Leppanen, E.: Homografiongelma tekstihaussa ja homografien disambiguoinnin vaikutukset (1996) 0.00
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    Abstract
    Homonymy is known to often cause false drops in free text searching in a full text database. The problem is quite common and difficult to avoid in Finnish, but nobody has examined it before. Reports on a study that examined the frequency of, and solutions to, the homonymy problem, based on searches made in a Finnish full text database containing about 55.000 newspaper articles. The results indicate that homonymy is not a very serious problem in full text searching, with only about 1 search result set out of 4 containing false drops caused by homonymy. Several other reasons for nonrelevance were much more common. However, in some set results there were a considerable number of homonymy errors, so the number seems to be very random. A study was also made into whether homonyms can be disambiguated by syntactic analysis. The result was that 75,2% of homonyms were disambiguated by this method. Verb homonyms were considerably easier to disambiguate than substantives. Although homonymy is not a very big problem it could perhaps easily be eliminated if there was a suitable syntactic analyzer in the IR system
    Footnote
    Übers. d. Titels: The homonymy problem in free text searching and the results of homonymy disambiguation
  7. Basch, R.: ¬Die sieben Todsünden der Volltextrecherche (1990) 0.00
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    Source
    Nachrichten für Dokumentation. 41(1990), S.229-235
    Year
    1990
  8. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.00
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
  9. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.00
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    Footnote
    Bezugnahme auf: Blair, D.C.: An evaluation of retrieval effectiveness for a full-text document-retrieval system. Comm. ACM 28(1985) S.280-299. - Vgl. auch: Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23; Blair, D.C., M.E. Maron: full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  10. Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980) 0.00
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    Abstract
    The basic problem in freetext retrieval is that the retrieval language is not properly adapted to that of the author. Morphological segmentation, where words with the same root are grouped together in the inverted file, is a good eliminator of noise and information loss, providing high recall but low precision
  11. Wildemuth, B.M.: Measures of success in searching a full-text fact base (1990) 0.00
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    Year
    1990
  12. Blair, D.C.: Full text retrieval : Evaluation and implications (1986) 0.00
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    Footnote
    Vgl.: Blair, D.C., M.E. Maron: An evaluation ... Comm. ACM 28(1985) S.280-299; Salton, G.: Another look ... Comm. ACM 29(1986) S.648-656; Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  13. McKinin, E.J.; Sievert, M.E.; Johnson, D.; Mitchell, J.A.: ¬The Medline/full-text research project (1991) 0.00
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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.
  14. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.00
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    Date
    23. 1.1999 19:22:09
  15. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.00
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    Date
    22. 7.2000 17:48:06
  16. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.00
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    Date
    14. 6.2001 12:22:31
  17. Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002) 0.00
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    Source
    c't. 2002, H.22, S.190-197
  18. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.00
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    Date
    9. 1.1996 10:22:31
  19. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.00
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    Abstract
    Die Möglichkeiten, die der heutigen Informations- und Wissensgesellschaft für die Beschaffung und den Austausch von Information zur Verfügung stehen, haben kurioserweise gleichzeitig ein immer akuter werdendes, neues Problem geschaffen: Es wird für jeden Einzelnen immer schwieriger, aus der gewaltigen Fülle der angebotenen Informationen die tatsächlich relevanten zu selektieren. Diese Arbeit untersucht die Möglichkeit, mit Hilfe von natürlichsprachlichen Schnittstellen den Zugang des Informationssuchenden zu Volltextdatenbanken zu verbessern. Dabei werden zunächst die wissenschaftlichen Fragestellungen ausführlich behandelt. Anschließend beschreibt der Autor verschiedene Lösungsansätze und stellt anhand einer natürlichsprachlichen Schnittstelle für den Brockhaus Multimedial 2004 deren erfolgreiche Implementierung vor