Document retrieval from user-selected web sites

  • Authors:

  • Ulrich Bohnacker;Ingrid Renz

  • Affiliations:

  • Daimler Chrysler Research, Ulm, Germany;Daimler Chrysler Research, Ulm, Germany

  • Venue:
  • Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
  • Year:
  • 2003

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Abstract

We present a new tool for gathering textual information according to a query (texts) on arbitrary web sites specified by an information-seeking user. This tool is helpful in any knowledge-intensive area. Its technology is based on the vector space model with optimized feature definition. .