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Machine-understandable data when strongly interlinked constitutes the basis for the SemanticWeb. Annotating web documents is one of the major techniques for creating metadata on the Web. Annotating websites defines the containing data in a form which is suitable for interpretation by machines. In this paper, the authors present a new approach to annotate websites and documents by promoting the abstraction level of the annotation process to a conceptual level. By this means, they hope to solve some of the problems of the current annotation solutions.
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