Search (26 results, page 1 of 2)

  • × theme_ss:"Automatisches Klassifizieren"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Koch, T.: Nutzung von Klassifikationssystemen zur verbesserten Beschreibung, Organisation und Suche von Internetressourcen (1998) 0.01 
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    Abstract
    In den ersten Jahren der Internetdienste wurde auf Klassifikationen weitgehend verzichtet. Viele Anbieter argumentierten, daß diese wie auch andere Metadaten von der Entwicklung aufgrund der Volltextindices überholt sind. Inzwischen hat sich das Blatt gewendet: Die meisten der großen Suchdienste bieten eine mehr oder minder ausgefeilte Klassifikation an. eine Reihe von Internetdiensten verwendet etablierte Bibliotheksklassifikationssysteme; deren Einsatzbereiche, die Vor- und Nachteile sowie Anwendungsbeispiele sind Thema dieses Aufsatzes
    Date
    20. 9.1996 20:25:49
    Theme
    Klassifikationssysteme im Online-Retrieval
  2. Wätjen, H.-J.: GERHARD : Automatisches Sammeln, Klassifizieren und Indexieren von wissenschaftlich relevanten Informationsressourcen im deutschen World Wide Web (1998) 0.00 
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    Abstract
    Die intellektuelle Erschließung des Internet befindet sich in einer Krise. Yahoo und andere Dienste können mit dem Wachstum des Web nicht mithalten. GERHARD ist derzeit weltweit der einzige Such- und Navigationsdienst, der die mit einem Roboter gesammelten Internetressourcen mit computerlinguistischen und statistischen Verfahren auch automatisch vollständig klassifiziert. Weit über eine Million HTML-Dokumente von wissenschaftlich relevanten Servern in Deutschland können wie bei anderen Suchmaschinen in der Datenbank gesucht, aber auch über die Navigation in der dreisprachigen Universalen Dezimalklassifikation (ETH-Bibliothek Zürich) recherchiert werden
    Theme
    Klassifikationssysteme im Online-Retrieval
  3. Savic, D.: Designing an expert system for classifying office documents (1994) 0.00 
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    Language
    e
    Source
    Records management quarterly. 28(1994) no.3, S.20-29
  4. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.00 
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    Date
    1. 8.1996 22:08:06
    Language
    e
    Theme
    Klassifikationssysteme im Online-Retrieval
  5. Vizine-Goetz, D.: NetLab / OCLC collaboration seeks to improve Web searching (1999) 0.00 
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    Language
    e
    Theme
    Klassifikationssysteme im Online-Retrieval
  6. Möller, G.: Automatic classification of the World Wide Web using Universal Decimal Classification (1999) 0.00 
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    Language
    e
    Theme
    Klassifikationssysteme im Online-Retrieval
  7. Savic, D.: Automatic classification of office documents : review of available methods and techniques (1995) 0.00 
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    Language
    e
    Source
    Records management quarterly. 29(1995) no.4, S.3-18
  8. Ruocco, A.S.; Frieder, O.: Clustering and classification of large document bases in a parallel environment (1997) 0.00 
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    Date
    29. 7.1998 17:45:02
    Language
    e
  9. Dubin, D.: Dimensions and discriminability (1998) 0.00 
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    Date
    22. 9.1997 19:16:05
    Language
    e
  10. GERHARD : eine Spezialsuchmaschine für die Wissenschaft (1998) 0.00 
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    Theme
    Klassifikationssysteme im Online-Retrieval
  11. Krellenstein, M.: Document classification at Northern Light (1999) 0.00 
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    Footnote
    Vortrag bei: Search engines and beyond: developing efficient knowledge management systems; 1999 Search engine Meeting, Boston, MA, April 19-20 1999
  12. Huang, Y.-L.: ¬A theoretic and empirical research of cluster indexing for Mandarine Chinese full text document (1998) 0.00 
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    Date
    6. 2.1999 17:20:50
  13. May, A.D.: Automatic classification of e-mail messages by message type (1997) 0.00 
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    Abstract
    This article describes a system that automatically classifies e-mail messages in the HUMANIST electronic discussion group into one of 4 classes: questions, responses, announcement or administartive. A total of 1.372 messages were analyzed. The automatic classification of a message was based on string matching between a message text and predefined string sets for each of the massage types. The system's automated ability to accurately classify a message was compared against manually assigned codes. The Cohen's Kappa of .55 suggested that there was a statistical agreement between the automatic and manually assigned codes
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    e
  14. Ardö, A.; Koch, T.: Automatic classification applied to full-text Internet documents in a robot-generated subject index (1999) 0.00 
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  15. McKiernan, G.: Automated categorisation of Web resources : a profile of selected projects, research, products, and services (1996) 0.00 
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  16. Cheng, P.T.K.; Wu, A.K.W.: ACS: an automatic classification system (1995) 0.00 
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  18. Ingwersen, P.; Wormell, I.: Ranganathan in the perspective of advanced information retrieval (1992) 0.00 
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  19. Koch, T.: Experiments with automatic classification of WAIS databases and indexing of WWW : some results from the Nordic WAIS/WWW project (1994) 0.00 
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  20. Losee, R.M.: Text windows and phrases differing by discipline, location in document, and syntactic structure (1996) 0.00 
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