Buchtitel: Proc. of the European Conference on Knowledge Acquisition and Management - EKAW-2002. Madrid, Spain, October 1-4, 2002
Abstract. Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, S-CREAM, that allows for creation of metadata and is trainable for a speci¯c domain. Annotating web documents is one of the major techniques for creating metadata on the web. The implementation of S-CREAM, Ont-O-Mat supports now the semi-automatic annotation of web pages. This semi- automatic annotation is based on the information extraction component Amilcare. Ont-O-Mat extract with the help of Amilcare knowledge struc- ture from web pages through the use of knowledge extraction rules. These rules are the result of a learning-cycle based on already annotated pages.