An Architecture for Semantic Enterprise Application Integration Standards Nenad Anicic 1, 2 , Nenad Ivezic 1 , Albert Jones 1 1 National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA {nanicic, nivezic, ajones}@nist.gov 2 Faculty of Organization Sciences, 154 Jove Ilica Street, 11000 Belgrade, Serbia and Montenegro anicic.nenad@fon.bg.ac.yu Abstract. Large, industry-wide interoperability projects use syntax-based standards approaches to accomplish interoperable data exchange among enterprise applications. We are investigating Semantic Web to advance these approaches. In this paper, we describe an architecture for Semantic Enterprise Application Integration Standards as a basis for experimental assessment of the Semantic Web technologies to enhance these standards approaches. The architecture relies on automated translation of the XML Schema-based representation of business document content models into an OWL-based ontology. Based on this architecture, we use Semantic Web representation and reasoning mechanisms to support consistency checking of ontological constructs and constraints specified within the ontology. The proposed architecture is relevant (1) when managing multiple enterprise ontologies derived from, and dependent on, a common ontology and (2) when dealing with model-driven integration using customizable interface models and testing of such integration efforts. 1 Introduction The scope of the effort reported in this paper is defined partially by the type of industrial problems we identify and partially by the traditional standards usage for enterprise application integration (EAI). Both are discussed below. 1.1 A Prototypical Problem Two independent but related industry consortia have developed enterprise application integration standards in the form of business document content models. Standards in Automotive Retail (STAR), an automotive retail consortium, has developed XML Schema-based standards to encode business document content models enable message exchanges among automotive manufacturers and their