The Semantic Web (SW) is an emerging technology that wants to bring content into the current Web, by associating meta-data to arbitrary web resources, like web pages, pictures, data sheets etc. SW consists of meta-data and links to global ontologies, which serve as structural vocabularies for the interpretation of domain-specific terms. It is widely accepted that Language Technology, especially Information Extraction is a core technology for the extraction and creation of semantic content. LT hence gains increased importance in the SW-community. As long as the human user is in the "Internet Loop", Natural language (NL) will remain to be the core Human-SW communication device. In the future, humans will continue to exchange knowledge via NL documents - with semantically annotated documents serving as the core Human-SW interface. In this context, NL understanding and generation methods and applications are needed for allowing an effective machine-user content-oriented interaction, as well as a context sensitive production of human-readable and understandable content in form of "natural" NL, e.g., NL-summarization from heterogeneous resources, dynamically created reports, magazines, newspapers, or the personal digital memory. So far, NLP, especially NLG has not gained much attention in the context of the Semantic Web, possibly also due to the very initial state of meta-data creation. However, with the emergence of ontology standards and
the development of large-scale annotated resources, NLP from and to meta-data will receive increased importance. The workshop will be of major interest to researchers interested in Language Technology, shallow and deep NLP, and Semantic Web. Furthermore, we expect that it will attract people working on Information Extraction, Question Answering and other related fields.