Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Automatisches Klassifizieren"
  • × theme_ss:"Internet"
  • × year_i:[1990 TO 2000}
  1. Chan, L.M.; Lin, X.; Zeng, M.: Structural and multilingual approaches to subject access on the Web (1999) 0.02 
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    Abstract
    Zu den großen Herausforderungen einer sinnvollen Suche im WWW gehören die riesige Menge des Verfügbaren und die Sparchbarrieren. Verfahren, die die Web-Ressourcen im Hinblick auf ein effizienteres Retrieval inhaltlich strukturieren, werden daher ebenso dringend benötigt wie Programme, die mit der Sprachvielfalt umgehen können. Im folgenden Vortrag werden wir einige Ansätze diskutieren, die zur Bewältigung der beiden Probleme derzeit unternommen werden
  2. McKiernan, G.: Automated categorisation of Web resources : a profile of selected projects, research, products, and services (1996) 0.02 
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  3. Vizine-Goetz, D.: NetLab / OCLC collaboration seeks to improve Web searching (1999) 0.02 
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  4. Möller, G.: Automatic classification of the World Wide Web using Universal Decimal Classification (1999) 0.02 
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  5. Subramanian, S.; Shafer, K.E.: Clustering (1998) 0.02 
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    Abstract
    This article presents our exploration of computer science clustering algorithms as they relate to the Scorpion system. Scorpion is a research project at OCLC that explores the indexing and cataloging of electronic resources. For a more complete description of the Scorpion, please visit the Scorpion Web site at <http://purl.oclc.org/scorpion>
  6. Koch, T.: Experiments with automatic classification of WAIS databases and indexing of WWW : some results from the Nordic WAIS/WWW project (1994) 0.01 
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    Abstract
    The Nordic WAIS/WWW project sponsored by NORDINFO is a joint project between Lund University Library and the National Technological Library of Denmark. It aims to improve the existing networked information discovery and retrieval tools Wide Area Information System (WAIS) and World Wide Web (WWW), and to move towards unifying WWW and WAIS. Details current results focusing on the WAIS side of the project. Describes research into automatic indexing and classification of WAIS sources, development of an orientation tool for WAIS, and development of a WAIS index of WWW resources

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