Transforming and Enriching Documents for the Semantic Web
  We suggest to employ techniques from Natural Language Processing (NLP) and
Knowledge Representation (KR) to transform existing documents into documents
amenable for the Semantic Web. Semantic Web documents have at least part of
their semantics and pragmatics marked up explicitly in both a machine
processable as well as human readable manner. XML and its related standards
(XSLT, RDF, Topic Maps etc.) are the unifying platform for the tools and
methodologies developed for different application scenarios.
