Automatic RDF metadata generation for resource discovery

Automatic metadata generation may provide a solution to the problem of inco nsistent, unreliable metadata describing resources on the Web. The Resource Description Framework (RDF) provides a domain-neutral foundation on which extensible element sets can be defined and expressed in a standard notation . This paper describes how an automatic classifier, that classifies HTML do cuments according to Dewey Decimal Classification, can be used to extract c ontext sensitive metadata which is then represented using RDF. The process of automatic classification is described and an appropriate metadata elemen t set is identified comprising those elements that can be extracted during classification. An RDF data model and an RDF schema are defined representin g the element set and the classifier is configured to output the elements i n RDF syntax according to the defined schema. (C) 1999 Published by Elsevie r Science B.V. All rights reserved.