Search (39 results, page 1 of 2)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[2000 TO 2010}
  1. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.03 
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    Abstract
    Retrieval Tests sind die anerkannteste Methode, um neue Verfahren der Inhaltserschließung gegenüber traditionellen Verfahren zu rechtfertigen. Im Rahmen einer Diplomarbeit wurden zwei grundsätzlich unterschiedliche Systeme der automatischen inhaltlichen Erschließung anhand der Pressedatenbank des Verlagshauses Gruner + Jahr (G+J) getestet und evaluiert. Untersucht wurde dabei natürlichsprachliches Retrieval im Vergleich zu Booleschem Retrieval. Bei den beiden Systemen handelt es sich zum einen um Autonomy von Autonomy Inc. und DocCat, das von IBM an die Datenbankstruktur der G+J Pressedatenbank angepasst wurde. Ersteres ist ein auf natürlichsprachlichem Retrieval basierendes, probabilistisches System. DocCat demgegenüber basiert auf Booleschem Retrieval und ist ein lernendes System, das auf Grund einer intellektuell erstellten Trainingsvorlage indexiert. Methodisch geht die Evaluation vom realen Anwendungskontext der Textdokumentation von G+J aus. Die Tests werden sowohl unter statistischen wie auch qualitativen Gesichtspunkten bewertet. Ein Ergebnis der Tests ist, dass DocCat einige Mängel gegenüber der intellektuellen Inhaltserschließung aufweist, die noch behoben werden müssen, während das natürlichsprachliche Retrieval von Autonomy in diesem Rahmen und für die speziellen Anforderungen der G+J Textdokumentation so nicht einsetzbar ist
  2. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.02 
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    Abstract
    Retrievaltests sind die anerkannteste Methode, um neue Verfahren der Inhaltserschließung gegenüber traditionellen Verfahren zu rechtfertigen. Im Rahmen einer Diplomarbeit wurden zwei grundsätzlich unterschiedliche Systeme der automatischen inhaltlichen Erschließung anhand der Pressedatenbank des Verlagshauses Gruner + Jahr (G+J) getestet und evaluiert. Untersucht wurde dabei natürlichsprachliches Retrieval im Vergleich zu Booleschem Retrieval. Bei den beiden Systemen handelt es sich zum einen um Autonomy von Autonomy Inc. und DocCat, das von IBM an die Datenbankstruktur der G+J Pressedatenbank angepasst wurde. Ersteres ist ein auf natürlichsprachlichem Retrieval basierendes, probabilistisches System. DocCat demgegenüber basiert auf Booleschem Retrieval und ist ein lernendes System, das aufgrund einer intellektuell erstellten Trainingsvorlage indexiert. Methodisch geht die Evaluation vom realen Anwendungskontext der Textdokumentation von G+J aus. Die Tests werden sowohl unter statistischen wie auch qualitativen Gesichtspunkten bewertet. Ein Ergebnis der Tests ist, dass DocCat einige Mängel gegenüber der intellektuellen Inhaltserschließung aufweist, die noch behoben werden müssen, während das natürlichsprachliche Retrieval von Autonomy in diesem Rahmen und für die speziellen Anforderungen der G+J Textdokumentation so nicht einsetzbar ist
  3. Lohmann, H.: KASCADE: Dokumentanreicherung und automatische Inhaltserschließung : Projektbericht und Ergebnisse des Retrievaltests (2000) 0.02 
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    Abstract
    Der Test hat gezeigt, dass die Ergänzung der bibliothekarischen Titelaufnahme um zusätzliche inhaltsrelevante Daten zu einer beeindruckenden Verbesserung der Suchergebnisse führt. Die Dokumentanreicherung sollte daher als Ziel bibliothekarischer Bemühungen um eine Verbesserung des OPAC-Retrievals weiterverfolgt werden. Der im Projekt eingeschlagene Weg, die Inhaltsverzeichnisse zu scannen, erwies sich allerdings als wenig sinnvoll. Zwar erzielte das Scanningverfahren gute Ergebnisse, auch arbeitete die Texterkennungssoftware sehr zuverlässig. Das Scanning bietet darüber hinaus die Möglichkeit, die dabei angefertigte Grafik-Datei mit dem Titelsatz im OPAC zu verknüpfen und so dem Nutzer als Entscheidungshilfe bei der Ergebnismengenbeurteilung an die Hand zu geben. Die Arbeiten am Aufbau der Testdatenbank brachten aber die Erkenntnis, dass die Anreicherung im Wege des Scanning technisch außerordentlich problematisch ist und einen nicht vorauszusehenden und letztlich auch nicht zu rechtfertigenden Aufwand erfordert. Diese Methode der Anreicherung kann daher für einen Praxiseinsatz nicht empfohlen werden.
  4. Harman, D.K.: ¬The TREC test collections (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  5. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  6. Voiskunskii, V.G.: Evaluation of search results (2000) 0.01 
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    Source
    Encyclopedia of library and information science. Vol.66, [=Suppl.29]
  7. Harman, D.K.: ¬The TREC ad hoc experiments (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  8. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  9. Beaulieu, M.: Approaches to user-based studies in information seeking and retrieval : a Sheffield perspective (2003) 0.01 
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    Source
    Journal of information science. 29(2003) no.4, S.239-248
  10. Harman, D.K.: Beyond English (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  11. Voorhees, E.M.; Garofolo, J.S.: Retrieving noisy text (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  12. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.01 
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    Date
    11. 8.2001 16:22:19
  13. Voorhees, E.M.: Question answering in TREC (2005) 0.01 
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    Date
    29. 3.1996 18:16:49
  14. Cormack, G.V.; Clarke, C.L.A.; Palmer, C.R.; Lynam, T.R.: MultiText experiments for TREC (2005) 0.01 
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    29. 3.1996 18:16:49
  15. Dumais, S.T.; Belkin, N.J.: ¬The TREC interactive tracks : putting the user into search (2005) 0.01 
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    29. 3.1996 18:16:49
  16. Hawking, D.; Craswell, N.: ¬The very large collection and Web tracks (2005) 0.01 
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  17. Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005) 0.01 
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    29. 3.1996 18:16:49
  18. Robertson, S.: How Okapi came to TREC (2005) 0.01 
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    29. 3.1996 18:16:49
  19. Buckley, C.: ¬The SMART Project at TREC (2005) 0.01 
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    29. 3.1996 18:16:49
  20. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.01 
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    Date
    29. 3.1996 18:16:49

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