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  • × theme_ss:"Automatisches Indexieren"
  • × year_i:[2000 TO 2010}
  1. Niggemann, E.: Wer suchet, der findet? : Verbesserung der inhaltlichen Suchmöglichkeiten im Informationssystem Der Deutschen Bibliothek (2006) 0.00 
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    Abstract
    Elektronische Bibliothekskataloge und Bibliografien haben ihr Monopol bei der Suche nach Büchern, Aufsätzen, musikalischen Werken u. a. verloren. Globale Suchmaschinen sind starke Konkurrenten, und Bibliotheken müssen heute so planen, dass ihre Dienstleistungen auch morgen noch interessant sind. Die Deutsche Bibliothek (DDB) wird ihre traditionelle Katalogrecherche zu einem globalen, netzbasierten Informationssystem erweitern, das die Vorteile der neutralen, qualitätsbasierten Katalogsuche mit den Vorteilen moderner Suchmaschinen zu verbinden sucht. Dieser Beitrag beschäftigt sich mit der Verbesserung der inhaltlichen Suchmöglichkeiten im Informationssystem Der Deutschen Bibliothek. Weitere Entwicklungsstränge sollen nur kurz im Ausblick angerissen werden.
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  2. Oberhauser, O.; Labner, J.: OPAC-Erweiterung durch automatische Indexierung : Empirische Untersuchung mit Daten aus dem Österreichischen Verbundkatalog (2002) 0.00 
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  3. Stock, W.G.: Textwortmethode : Norbert Henrichs zum 65. (3) (2000) 0.00 
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  4. Lepsky, K.; Zimmermann, H.H.: Katalogerweiterung durch Scanning und automatische Dokumenterschließung : Ergebnisse des DFG-Projekts KASCADE (2000) 0.00 
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  5. Grummann, M.: Sind Verfahren zur maschinellen Indexierung für Literaturbestände Öffentlicher Bibliotheken geeignet? : Retrievaltests von indexierten ekz-Daten mit der Software IDX (2000) 0.00 
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  6. Hauer, M.: Neue Qualitäten in Bibliotheken : Durch Content-Ergänzung, maschinelle Indexierung und modernes Information Retrieval können Recherchen in Bibliothekskatalogen deutlich verbessert werden (2004) 0.00 
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  7. Jones, S.; Paynter, G.W.: Automatic extractionof document keyphrases for use in digital libraries : evaluations and applications (2002) 0.00 
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    Abstract
    This article describes an evaluation of the Kea automatic keyphrase extraction algorithm. Document keyphrases are conventionally used as concise descriptors of document content, and are increasingly used in novel ways, including document clustering, searching and browsing interfaces, and retrieval engines. However, it is costly and time consuming to manually assign keyphrases to documents, motivating the development of tools that automatically perform this function. Previous studies have evaluated Kea's performance by measuring its ability to identify author keywords and keyphrases, but this methodology has a number of well-known limitations. The results presented in this article are based on evaluations by human assessors of the quality and appropriateness of Kea keyphrases. The results indicate that, in general, Kea produces keyphrases that are rated positively by human assessors. However, typical Kea settings can degrade performance, particularly those relating to keyphrase length and domain specificity. We found that for some settings, Kea's performance is better than that of similar systems, and that Kea's ranking of extracted keyphrases is effective. We also determined that author-specified keyphrases appear to exhibit an inherent ranking, and that they are rated highly and therefore suitable for use in training and evaluation of automatic keyphrasing systems.
    Type
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  8. Rädler, K.: In Bibliothekskatalogen "googlen" : Integration von Inhaltsverzeichnissen, Volltexten und WEB-Ressourcen in Bibliothekskataloge (2004) 0.00 
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  9. Hauer, M: Silicon Valley Vorarlberg : Maschinelle Indexierung und semantisches Retrieval verbessert den Katalog der Vorarlberger Landesbibliothek (2004) 0.00 
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  10. Tsai, C.-F.; McGarry, K.; Tait, J.: Qualitative evaluation of automatic assignment of keywords to images (2006) 0.00 
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    Abstract
    In image retrieval, most systems lack user-centred evaluation since they are assessed by some chosen ground truth dataset. The results reported through precision and recall assessed against the ground truth are thought of as being an acceptable surrogate for the judgment of real users. Much current research focuses on automatically assigning keywords to images for enhancing retrieval effectiveness. However, evaluation methods are usually based on system-level assessment, e.g. classification accuracy based on some chosen ground truth dataset. In this paper, we present a qualitative evaluation methodology for automatic image indexing systems. The automatic indexing task is formulated as one of image annotation, or automatic metadata generation for images. The evaluation is composed of two individual methods. First, the automatic indexing annotation results are assessed by human subjects. Second, the subjects are asked to annotate some chosen images as the test set whose annotations are used as ground truth. Then, the system is tested by the test set whose annotation results are judged against the ground truth. Only one of these methods is reported for most systems on which user-centred evaluation are conducted. We believe that both methods need to be considered for full evaluation. We also provide an example evaluation of our system based on this methodology. According to this study, our proposed evaluation methodology is able to provide deeper understanding of the system's performance.
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  11. Ladewig, C.; Henkes, M.: Verfahren zur automatischen inhaltlichen Erschließung von elektronischen Texten : ASPECTIX (2001) 0.00 
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  12. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.00 
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  13. Gaese, V.: "Automatische Klassifikation von Presseartikeln in der Gruner + Jahr Dokumentation" (2003) 0.00 
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  14. Mielke, B.: Wider einige gängige Ansichten zur juristischen Informationserschließung (2002) 0.00 
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  15. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.00 
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  16. Nohr, H.: Theorie des Information Retrieval II : Automatische Indexierung (2004) 0.00 
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  17. Gaus, W.; Kaluscha, R.: Maschinelle inhaltliche Erschließung von Arztbriefen und Auswertung von Reha-Entlassungsberichten (2006) 0.00 
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  18. Schneider, A.: Moderne Retrievalverfahren in klassischen bibliotheksbezogenen Anwendungen : Projekte und Perspektiven (2008) 0.00 
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  19. Maas, H.-D.: Indexieren mit AUTINDEX (2006) 0.00 
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  20. Lepsky, K.: Automatische Indexierung des Reallexikons zur Deutschen Kunstgeschichte (2006) 0.00 
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