Search (3 results, page 1 of 1)

  • × theme_ss:"Automatisches Indexieren"
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × year_i:[1990 TO 2000}
  1. Gödert, W.; Lepsky, K.: Semantische Umfeldsuche im Information Retrieval (1998) 0.03 
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    Abstract
    Sachliche Suchen in bibliothekarischen Online-Katalogen enden häufig mit unbefriedigenden Ergebnissen. Als eine Ursache dafür kann angesehen werden, daß die Gestaltung des Suchprozesses das semantische Umfeld einer Suchanfrage nicht mit einbezieht, daß in Übertragung der Verhältnisse in konventionellen Katalogen am Paradigma des Wort-Matching zwischen Suchwort und Indexat festgehalten wird. Es wird statt dessen das Konzept einer semantischen Umfeldsuche entwickelt und gezeigt, welche Rolle die Verwendung strukturierten Vokabulars dafür spielen kann. Insbesondere wird dargestellt, welche Möglichkeiten Verfahren der wörterbuchgestützten maschinellen Indexierung in diesem Zusammenhang spielen können. Die Ausführungen werden durch Beispiele illustriert
    Source
    Zeitschrift für Bibliothekswesen und Bibliographie. 45(1998) H.4, S.401-423
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Harman, D.: Automatic indexing (1994) 0.00 
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    Pages
    S.247-264
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.00 
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    Abstract
    The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query
    Source
    Information processing and management. 31(1995) no.3, S.315-326
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval

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