There is a growing need for practical solutions to provide flexible access to digital documents in a structured form on the Web. The existing library classification schemes serve as good bases for achieving this goal. This paper presents a brief review of the various methods applied in automatic classification. If focuses on the main activities fulfilled within various research projects to make possible the effective automatic indexing and classification of Web sources. It describes the approaches taken in the Nordic WAIS/WWW; DESIRE II - Engineering Electronic Library System (EELS); GERHARD; and SCORPION projects. Artificial neural networks and artificial intelligence show great potential.
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