Kugel,Felix Haller,Heiko Semantic Web zum Anfassen 2008 Die formale Modellierung von Fachdomänen auf Basis von Webstandards wurde ursprünglich von einer Community um Tim Berners-Lee (W3C) vorangetrieben. Es werden Beispiele vorgestellt sowie Startpunkte für die Suche nach Ontologien gegeben, die sich für EAI via SOA und Web anbieten. Im Anschluss werden Tools gezeigt, die die einschlägigen Standards (RDF, OWL, SPARQL) auf Java-Ebene transportieren. Riss,UweV. Weber,Ingo Grebner,Olaf Business Process Modeling, Task Management, and the Semantic Link American Association for Artificial Intelligence, Menlo Park, Calif. 99-104 2008 Sauermann,Leo Presentation of NEPOMUK and Case Studies at Oil Industry Norway Semantic Web Days 2008 Presentation of case studies of successfull Semantic Web use, NEPOMUK is one of them. Audience are Oil Industry and Defence Industry IT Executives. Brunzel,Marko Spiliopoulou,Myra Domain Relevance on Term Weighting Springer 4592 2007 The TFxIDF term weighting scheme is the standard approach on vectorization of textual data. For a data set where textual data stemming from web document structure is to be vectorized iteDBLP:conf/kdxd/BrunzelS06 the need for a enhanced term weighting scheme arose. In this publication we introduce a term weighting scheme which improves the behavior compared to the traditional TFxIDF scheme by adding a component which is based on the linguistically inspired notion of domain relevance. Domain relevance measures the degree to which a term is regarded as more relevant within a data set compared to a reference data set. By means of this external component a potential weakness of TFxIDF on non standard distributed data sets is overcome. This weighting scheme favours domain relevant terms, which can be regarded as more useful in settings where the clustering is performed to be consumed by an human supervisor e.g for semi-automatic ontology learning.