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Using Symbolic Objects to Cluster Web Documents

  • Esteban Meneses, Costa Rica Institute of Technology, Costa Rica
  • Oldemar Rodriguez-Rojas, University of Costa Rica, Costa Rica

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Track: Posters

Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve re- trieval performance. Nevertheless, due to the huge size of the web, a linear mechanism must be employed to cluster web documents. The k-means is one classic algorithm used in this problem. We present a variant of the vector model to be used with the k-means algorithm. Our representation uses symbolic objects for clustering web documents. Some experiments were done with positive results and future work is optimistic.

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